babytreecc/ICLR2025review · Datasets at Hugging Face

00SnKBGTsz

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback

main

Active

iterative data generation;llm agent;lifelong learning

foundation or frontier models, including LLMs

5;6;6;8

4;3;4;4

2;2;4;3

3;3;4;3

3;3;2;2

6.25

3.75

2.75

3.25

2.5

0.132453

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

00ezkB2iZf

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

main

Active

large language model;adversarial machine learning;automatic red teaming

foundation or frontier models, including LLMs

3;3;5;6

4;4;5;3

3;2;3;3

2;2;4;3

3;2;3;3

4.25

4

2.75

-0.272166

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

01wMplF8TL

INSTRUCTION-FOLLOWING LLMS FOR TIME SERIES PREDICTION: A TWO-STAGE MULTIMODAL APPROACH

main

Active

Large Language Models;Time-series Prediction;Multi-modal;Instruction-following

learning on time series and dynamical systems

3;5;5;5

3;4;3;3

2;2;2;3

2;2;3;3

1;3;3;2

4.5

3.25

2.25

2.5

2.25

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

029hDSVoXK

Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense

main

Active

Model Extraction Defense

alignment, fairness, safety, privacy, and societal considerations

1;5;5;6;8

4;3;3;3;4

2;3;3;3;2

2;3;2;3;4

2;2;2;3;3

5

3.4

2.6

2.8

2.4

-0.179029

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

02DCEU6vSU

Gen-LRA: Towards a Principled Membership Inference Attack for Generative Models

main

Active

Privacy;Membership Inference Attacks;Generative Models

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5;8

4;4;4;3;4

2;2;2;3;3

2;2;3;2;3

3;3;3;3;3

4.8

3.8

2.4

3

-0.054554

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

02Od16GFRW

Ensembles provably learn equivariance through data augmentation

main

Active

equivariance;invariance;ensemble models;data augmentation;SGD

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;6;6

4;3;3

3;3;3

2;3;2

3;3;2

5

3.333333

3

2.333333

2.666667

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

02haSpO453

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

main

Active

Unified Visual Language Model;Autoregressive Model

foundation or frontier models, including LLMs

3;5;5;6

4;5;3;4

3;2;2;4

2;2;3;3

3;2;3;3

4.75

4

2.75

2.5

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

02kZwCo0C3

SAIL: Self-improving Efficient Online Alignment of Large Language Models

main

Active

RLHF;Alignment;Online Alignment;Self-Play

alignment, fairness, safety, privacy, and societal considerations

3;6;6;8

4;3;4;4

3;3;3;4

3;3;4;3

2;4;2;4

5.75

3.75

3.25

3

-0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

03EkqSCKuO

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks

main

Active

graph representation learning;long-range propagation;ordinary differential equations

learning on graphs and other geometries & topologies

5;6;8

2;3;3

2;4;4

2;2;3

3;3;3

6.333333

2.666667

3.333333

2.333333

3

0.755929

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

03OkC0LKDD

The Vital Role of Gradient Clipping in Byzantine-Resilient Distributed Learning

main

Active

Byzantine resilience;distributed machine learning

optimization

3;5;6;6

4;3;5;3

1;2;2;3

2;3;4;3

3;3;3;3

5

3.75

2

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

03u7pbpyeN

BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search

main

Withdraw

Large Language Models;Tree Search;Back Verification

applications to computer vision, audio, language, and other modalities

Linzhuang Sun;Hao Liang;Jingxuan Wei;Bihui Yu;Conghui He;Zenan Zhou;Wentao Zhang

~Linzhuang_Sun1;~Hao_Liang7;~Jingxuan_Wei1;~Bihui_Yu1;~Conghui_He2;~Zenan_Zhou1;~Wentao_Zhang1

3;3;5;6

5;3;4;4

3;3;4;3

1;2;2;2

4;2;3;3

4.25

4

3.25

1.75

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

04RGjODVj3

From Rest to Action: Adaptive Weight Generation for Motor Imagery Classification from Resting-State EEG Using Hypernetworks

main

Active

Brain-Computer Interfaces (BCIs);Motor Imagery;HyperNetworks;Data driven learning;Adaptive weights

applications to neuroscience & cognitive science

1;3;3;5

5;5;5;4

1;2;2;3

1;2;2;2

1;1;1;2

3

4.75

2

1.75

1.25

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

04RLVxDvig

NanoMoE: Scaling Mixture of Experts to Individual Layers for Parameter-Efficient Deep Learning

main

Active

Mixture of Experts;Parameter Efficiency;Expressivity;Low-Rank Factorization

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;3;3

4;4;4;4

2;3;2;2

2;2;2;2

3;3;1;3

3

4

2.25

2

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

04TRw4pYSV

Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models

main

Active

Continual learning;Large multimodal models;Efficient learning;Prompt learning

transfer learning, meta learning, and lifelong learning

3;3;3;5

4;3;4;3

3;2;2;2

2;2;2;2

1;3;1;3

3.5

2.25

2

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

04c5uWq9SA

A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage

main

Active

Privacy;NLP;Text;Reidentification;Data Release;Sanitization;Anonymization

alignment, fairness, safety, privacy, and societal considerations

3;5;5;8

4;3;4;4

2;2;3;4

3;2;3;3

3;2;2;4

5.25

3.75

2.75

0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

04qx93Viwj

Holistically Evaluating the Environmental Impact of Creating Language Models

main

Active

machine learning;artificial intelligence;language model;large language models;environmental impact;carbon emissions;water usage

alignment, fairness, safety, privacy, and societal considerations

3;6;8

5;4;3

2;4;3

3;3;3

5.666667

4

3

-0.993399

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

063FuFYQQd

LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Lecture Learning

main

Active

Multimodal assistant;surgical;multimodal instruction-following data;dataset

foundation or frontier models, including LLMs

3;5;5;6;6

5;4;4;4;4

2;3;2;4;4

3;2;2;3;3

2;3;3;4;3

5

4.2

3

2.6

3

-0.912871

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

06B23UkNid

MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model

main

Active

Molecule captioning;large language models;drug discovery;molecule representation learning

applications to computer vision, audio, language, and other modalities

3;3;5;5

4;4;3;4

2;1;3;3

2;2;2;2

2;1;2;3

4

3.75

2.25

2

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

06GH83hDIv

Auction-Based Regulation for Artificial Intelligence

main

Active

Regulation;Mechanisms;Auctions;Artificial Intelligence

alignment, fairness, safety, privacy, and societal considerations

3;5;5;8

3;4;3;3

2;2;3;4

2;2;2;3

3;2;4;3

5.25

3.25

2.75

2.25

3

-0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

06ZvHHBR0i

Adversarial Multi-Agent Evaluation of Large Language Models through Iterative Debate

main

Active

LLM Evals;Adversarial analysis;Mechanism Design

foundation or frontier models, including LLMs

1;3;3;3

5;4;5;4

1;1;1;2

1;2;3;1

2.5

4.5

1.25

1.75

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

07N9jCfIE4

The Complexity Dynamics of Grokking

main

Active

Compression;Complexity;Generalization;Grokking;Minimum Description Length

learning theory

3;3;5;5;8

4;3;3;4;4

2;2;2;3;3

2;2;2;2;4

2;2;2;3;4

4.8

3.6

2.4

2.6

0.356348

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

07ZaA3MiL0

Consistent Iterative Denoising for Robot Manipulation

main

Active

robot manipulation;consistent iterative denoising;diffusion model;imitation learning

applications to robotics, autonomy, planning

3;3;5;6

4;3;3;3

1;2;2;3

1;1;3;3

4.25

3.25

2

-0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

07cehZ97Xb

How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?

main

Active

vision language action model; decision making; autonomous driving; multimodal

applications to robotics, autonomy, planning

3;3;5

5;3;3

3;1;1

2;1;2

4;2;2

3.666667

1.666667

2.666667

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

07yvxWDSla

Synthetic continued pretraining

main

Active

large language model;synthetic data;continued pretraining

foundation or frontier models, including LLMs

6;6;8;8

3;4;3;4

3;2;4;4

2;2;3;3

2;3;3;4

7

3.5

3.25

2.5

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0823rvTIhs

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors

main

Active

weakly supervised affordance grounding;foundation model;pseudo label

applications to computer vision, audio, language, and other modalities

5;6;8

3;3;4

3;3;3

3;3;4

6.333333

3.333333

3

3.333333

0.944911

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

08FCLXDY3S

Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing

main

Active

evaluation metric;text-guided image editing;multi-modal representation

other topics in machine learning (i.e., none of the above)

3;3;5;6

4;3;4;4

2;3;3;3

2;2;2;3

2;3;3;3

4.25

3.75

2.75

2.25

2.75

0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

09FiNmvNMw

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning

main

Active

Logical Reasoning;Large Language Models;Neurosymbolic Approaches;Semantic Decomposition;Formal Language Verification

neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)

5;5;5

4;3;4

2;3;3

3;2;2

2;1;2

5

3.666667

2.666667

2.333333

1.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

09JVxsEZPf

Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching

main

Active

Post Safety Alignment;Large Language Models;Jailbreak Defense;Over-Safety Mitigation

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

3;3;4;4

2;3;2;3

2;2;2;3

2;2;3;3

4.75

3.5

2.5

2.25

2.5

0.688247

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

09LEjbLcZW

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

main

Active

large language models;language agents;multi-agent

foundation or frontier models, including LLMs

5;5;5

4;4;3

2;2;3

3;2;2

3;3;3

5

3.666667

2.333333

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

09TI1yUo9K

Noise is More Than Just Interference: Information Infusion Networks for Anomaly Detection

main

Active

Self-supervised learning;Anomaly detection

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;5

5;4;5;4

2;2;2;1

2;2;2;3

2;1;2;3

4.5

1.75

2.25

2

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0A6f1b66pE

Unleashing the Power of Selective State Space Models in Vision-Language Models

main

Withdraw

Vision-Language Models; Mamba;

foundation or frontier models, including LLMs

Honghao Chen;Yibing Song;Shoufa Chen;Chongjian GE;Kaiqi Huang

~Honghao_Chen1;~Yibing_Song1;~Shoufa_Chen1;~Chongjian_GE1;~Kaiqi_Huang1

3;3;5;6;6

4;5;3;4;3

2;2;3;3;3

2;1;2;2;2

2;2;3;3;3

4.6

3.8

2.6

1.8

2.6

-0.669894

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "We thank the reviewers for their valuable comments and we will revise accordingly." }, ...

0AHkdAtFW8

Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps

main

Active

Optimal transport;sum-of-squares programming;Ma-Trudinger-Wang tensor

optimization

5;5;6;6;6

4;2;2;4;2

3;3;3;3;3

3;1;3;3;3

2;1;3;3;3

5.6

2.8

3

2.6

2.4

-0.166667

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0ASCZrVzSX

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds

main

Active

approximation theory;manifold hypothesis;statistical complexity;Riemannian geometry

learning theory

5;5;6

3;3;3

4;2;3

2;2;2

3;2;3

5.333333

3

2

2.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0Ag8FQ5Rr3

The Super Weight in Large Language Models

main

Active

natural language processing

foundation or frontier models, including LLMs

1;5;5;5;5

5;4;4;3;3

1;2;3;3;3

1;2;2;2;2

1;3;3;3;3

4.2

3.8

2.4

1.8

2.6

-0.801784

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0ApkwFlCxq

ComputAgeBench: Epigenetic Aging Clocks Benchmark

main

Active

biological age;epigenetic aging clocks;DNA methylation;aging biomarkers;longevity

datasets and benchmarks

5;5;6;6

5;4;4;3

3;2;3;3

2;2;2;3

3;3;4;3

5.5

4

2.75

2.25

3.25

-0.707107

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0BBzwpLVpm

Learning Identifiable Concepts for Compositional Image Generation

main

Active

concept; composition; image generation

generative models

3;3;5;6

4;3;3;4

2;2;3;3

2;2;2;3

1;2;2;3

4.25

3.5

2.5

2.25

2

0.19245

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0BujOfTqab

AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models

main

Active

jailbreak;adversarial attack;audio-language model

alignment, fairness, safety, privacy, and societal considerations

3;3;6;8

5;4;5;4

3;1;3;3

2;3;4;3

3;2;3;3

5

4.5

2.5

3

2.75

-0.235702

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0C5iHPPwsG

Autoencoder-Based General-Purpose Representation Learning for Entity Embedding

main

Active

customer;embeddings;embedding;tabular;general;purpose;autoencoder;representation learning;general purpose;reconstruction loss;entity;entity embedding;entity representation;contractive autoencoder;dimensionality;reduction;latent;space;representation;feature;regularization;variational autoencoder

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;8

3;3;3;1

2;2;4;3

2;2;2;3

1;1;4;3

5.25

2.5

2.75

2.25

-0.889297

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0CieWy9ONY

Scene Flow as a Partial Differential Equation

main

Active

Scene Flow;Neural Prior;Partial Differential Equation;Reconstruction

applications to computer vision, audio, language, and other modalities

6;6;6;8

4;4;4;3

3;3;3;3

3;2;3;3

2;3;2;3

6.5

3.75

3

2.75

2.5

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0CtIt485ew

Brain-inspired continual pre-trained learner via silent synaptic consolidation

main

Active

Continua learning; Silent synapse; Pre-trained model; neuroscience-inspired method

applications to neuroscience & cognitive science

3;3;5;5

4;4;4;3

2;2;3;2

2;3;2;2

2;2;3;2

4

3.75

2.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0CvJYiOo2b

Revisiting PCA for Time Series Reduction in Temporal Dimension

main

Active

principal component analysis (PCA);time series classification;time series forecasting;time series extrinsic regression

learning on time series and dynamical systems

3;3;5;5

5;4;2;4

2;1;3;2

2;2;2;2

2;3;3;3

4

3.75

2

2.75

-0.688247

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0DZEs8NpUH

Personality Alignment of Large Language Models

main

Active

Personality Alignment;Large language models;behavioral preferences of LM

generative models

5;5;6

4;4;5

3;3;4

2;2;3

3;3;3

5.333333

4.333333

3.333333

2.333333

3

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0EP01yhDlg

Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition

main

Active

Large language model;Self-speculative decoding;Multi-token prediction;Low-rank approximation

foundation or frontier models, including LLMs

3;5;5;5

4;4;3;4

2;2;3;3

2;3;2;3

2;3;3;3

4.5

3.75

2.5

2.75

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0F1rIKppTf

Through the Looking Glass: Mirror Schrödinger Bridges

main

Active

entropic optimal transport;schrödinger bridge;stochastic differential equations;sampling

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

5;5;6;6

3;3;4;3

3;4;2;3

2;3;2;3

3;4;2;3

5.5

3.25

3

2.5

3

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0FK6tzqV76

RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning

main

Active

Reinforcement Learning;Diffusion Model;Reverse Synthesize

reinforcement learning

5;5;5;5

3;4;4;4

2;3;3;2

2;3;2;2

2;3;3;3

5

3.75

2.5

2.25

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0FbzC7B9xI

Truncation Is All You Need: Improved Sampling Of Diffusion Models For Physics-Based Simulations

main

Active

physics-based simulations;diffusion models;improved sampling

applications to physical sciences (physics, chemistry, biology, etc.)

5;5;5;6;6

3;3;4;4;4

2;3;3;3;3

2;2;2;3;3

3;2;3;3;3

5.4

3.6

2.8

2.4

2.8

0.666667

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0Fi3u4RCyU

Evolve: Evaluating and Optimizing LLMs For Exploration

main

Active

Large Language Model;Exploration

foundation or frontier models, including LLMs

5;5;6;8

4;4;4;4

4;2;3;4

2;2;3;3

4;2;3;4

6

4

3.25

2.5

3.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0FxnSZJPmh

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems

main

Active

Inverse Problems;Stability;Operator Learning;Physics-Informed Machine Learning

neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.)

3;5;5

5;3;3

2;2;2

2;3;3

4.333333

3.666667

2

2.666667

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0G6rRLYcxm

Maximum Next-State Entropy for Efficient Reinforcement Learning

main

Active

Deep Reinforcement Learning; Maximum Entropy Reinforcement Learning

reinforcement learning

3;5;5;6

3;5;3;3

1;3;3;3

2;2;2;2

1;3;3;4

4.75

3.5

2.5

2

2.75

0.132453

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0GC81gpjOo

Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation

main

Active

Multi-Agent Cooperation;LLM;Theory of Mind

other topics in machine learning (i.e., none of the above)

3;3;6;6

4;4;3;2

2;2;3;3

2;3;3;3

2;2;3;3

4.5

3.25

2.5

2.75

2.5

-0.904534

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0GzqVqCKns

Probing the Latent Hierarchical Structure of Data via Diffusion Models

main

Active

data structure;hierarchical compositionality;diffusion models;statistical physics;phase transition

other topics in machine learning (i.e., none of the above)

5;5;6;6

3;2;3;3

2;3;3;3

2;2;3;3

5.5

2.75

2.5

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0HWAbWgI3T

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings

main

Active

Box Embeddings;Personalized Query;Set-based embeddings;Recommendation

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5

3;4;3

2;3;2

2;2;2

1;2;2

4.333333

3.333333

2.333333

2

1.666667

0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0HqPwbN1Su

MLGLP: Multi-Scale Line-Graph Link Prediction based on Graph Neural Networks

main

Active

link prediction;graph neural network;multi-scale graph;line graph;complex network.

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;6

5;3;3

2;2;3

2;2;2

4

3.666667

2.333333

2

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0IhoIn0jJ3

Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs

main

Active

graph neural networks;temporal patterns;higher order network;random graph ensembles

learning on graphs and other geometries & topologies

3;5;5;5

3;4;3;4

2;3;2;3

1;1;3;2

1;2;2;2

4.5

3.5

2.5

1.75

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0IqriWHWYy

Watch Out!! Your Confidence Might be a Reason for Vulnerability

main

Active

Confidence;Robustness;Natural Adversaries;Object Recognition

interpretability and explainable AI

3;3;5;5

4;4;3;5

1;2;2;3

1;2;2;2

2;2;3;4

4

2

1.75

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0JOhLEf2bX

Proteome-wide prediction of mode of inheritance and molecular mechanism underlying genetic diseases using structural interactomics

main

Active

Mode of inheritance;Functional effect;Genetic diseases mechanism;Graph neural networks;Graph-of-graphs;Structural interactomics

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;5

3;4;4

2;2;2

1;1;2

2;1;3

3.666667

2

1.333333

2

0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0JcPJ0CLbx

Revisiting MAE pre-training for 3D medical image segmentation

main

Withdraw

self-supervised learning;medical image segmentation;foundation models;medical image computing;CNN;nnU-Net

unsupervised, self-supervised, semi-supervised, and supervised representation learning

Tassilo Wald;Constantin Ulrich;Stanislav Lukyanenko;Andrei Goncharov;Alberto Paderno;Leander Maerkisch;Paul F Jaeger;Klaus Maier-Hein

~Tassilo_Wald1;~Constantin_Ulrich1;~Stanislav_Lukyanenko1;~Andrei_Goncharov1;~Alberto_Paderno1;~Leander_Maerkisch1;~Paul_F_Jaeger1;~Klaus_Maier-Hein1

3;3;3;6

4;5;4;4

2;2;2;3

2;1;2;3

1;1;3;3

3.75

4.25

2.25

2

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Given the Scores and the Reviews, we withdraw the paper from ICLR and will revise it.\nWe wa...

0JjsZC0w8x

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement

main

Active

autoregressive large language modeling;decoding;iterative refinement

foundation or frontier models, including LLMs

3;6;6;6

4;2;3;5

2;4;3;4

2;3;3;2

3;2;2;4

5.25

3.5

3.25

2.5

2.75

-0.258199

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0JwxMqKGxa

Reinforcement Learning on Synthetic Navigation Data allows Safe Navigation in Blind Digital Twins

main

Active

Electronic Travel Aids;Virtual Environment;Semantic segmentation;Reinforcement Learning

applications to neuroscience & cognitive science

1;1;3;3;5;6

4;3;5;4;3;4

1;2;1;2;2;3

1;1;2;2;2;3

3;2;1;2;2;3

3.166667

3.833333

1.833333

2.166667

0.021693

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0K0hoNL9sx

Quantifying the similarity of information contained in probabilistic latent spaces

main

Withdraw

Information theory;representation learning;disentanglement

unsupervised, self-supervised, semi-supervised, and supervised representation learning

Kieran A. Murphy;Sam Dillavou;Danielle Bassett

~Kieran_A._Murphy1;~Sam_Dillavou1;~Danielle_Bassett1

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "We found a bug in the calculation of the mutual information between full latent spaces (Fig ...

0K1OaL6XuK

Planning Anything with Rigor: General-Purpose Zero-Shot Planning with LLM-based Formalized Programming

main

Active

LLM Planning;Code generation;LLM Tool-Use

foundation or frontier models, including LLMs

1;6;6;6

4;4;3;3

2;3;3;3

1;2;3;3

2;3;3;3

4.75

3.5

2.75

2.25

2.75

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0KFwhDqTQ6

PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self-Enhancement

main

Withdraw

Diffusion models;Text to 3D;Image to 3D;3D Avatar

generative models

Jing Yang;Tianhao Walter Wu;Kyle Thomas Fogarty;Fangcheng Zhong;Cengiz Oztireli

~Jing_Yang7;~Tianhao_Walter_Wu1;~Kyle_Thomas_Fogarty1;~Fangcheng_Zhong1;~Cengiz_Oztireli1

3;3;5;5

5;5;4;4

3;2;3;2

2;1;2;2

3;3;3;2

4

4.5

2.5

1.75

2.75

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

0KHW6yXdiZ

An End-to-End Model For Logits Based Large Language Models Watermarking

main

Active

LLM watermarking;End-to-end optimization;Robustness

foundation or frontier models, including LLMs

3;5;5;5

5;4;3;5

2;3;2;3

3;3;3;3

4.5

4.25

2.5

3

-0.522233

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0L8wZ9WRah

Attention-aware Post-training Quantization without Backpropagation

main

Active

Quantization;Hyper-scale LLMs;Attention;Hessian

other topics in machine learning (i.e., none of the above)

3;3;3;5

5;3;5;3

3;2;2;3

2;2;2;2

2;3;1;3

3.5

4

2.5

2

2.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0LSAmFCc4p

Brain-inspired -Convolution benefits large kernels and aligns better with visual cortex

main

Active

Lp-Convolution;Receptive Field;Multivariate p-generalized normal distribution;Representation Similarity;Visual Cortex;Gaussian Sparsity

applications to computer vision, audio, language, and other modalities

3;5;8;8

4;4;4;3

3;2;3;3

1;2;3;3

3;3;4;4

6

3.75

2.75

2.25

3.5

-0.544331

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0Lpz2o6NDE

Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models

main

Active

4D texture synthesis;consistent video generation;zero-shot

generative models

3;5;5;5

4;4;3;4

2;2;2;3

2;2;2;2

3;2;3;2

4.5

3.75

2.25

2

2.5

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0MVWOHwHDb

Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding

main

Active

Knowledge Graphs; Protein Science; Representation Learning

applications to physical sciences (physics, chemistry, biology, etc.)

3;5;6;6

3;5;3;4

2;3;3;3

2;2;3;3

2;3;3;3

5

3.75

2.75

2.5

2.75

0.246183

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0MhlzybvAp

Balanced Learning for Domain Adaptive Semantic Segmentation

main

Active

Semantic segmentation

applications to computer vision, audio, language, and other modalities

5;5;6;6

4;4;5;3

2;3;3;3

3;4;3;3

5.5

4

2.75

3.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0N8yq8QwkD

Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh

main

Withdraw

Editable Rendring; 3DGS; Differential Rendering

applications to computer vision, audio, language, and other modalities

Xiangjun Gao;Xiaoyu Li;Yiyu Zhuang;Qi Zhang;Wenbo Hu;Chaopeng Zhang;Yao Yao;Ying Shan;Long Quan

~Xiangjun_Gao1;~Xiaoyu_Li2;~Yiyu_Zhuang1;~Qi_Zhang10;~Wenbo_Hu2;~Chaopeng_Zhang1;~Yao_Yao1;~Ying_Shan2;~Long_Quan2

5;5;5;5;5

5;4;5;5;4

2;3;3;3;3

2;2;1;2;2

2;3;3;3;1

5

4.6

2.8

1.8

2.4

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

0NAVeUm7sk

Variational Bayesian Pseudo-Coreset

main

Active

Bayesian Pseudo-Coreset;Variational Inference

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

5;5;5;5

4;3;3;2

3;3;3;3

2;2;2;2

2;3;3;3

5

3

2

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0NEjIZlEhP

Verified Relative Output Margins for Neural Network Twins

main

Active

Relative Output Margin;Formal Verification;Deep Neural Networks

alignment, fairness, safety, privacy, and societal considerations

3;3;3;5;5

4;4;3;4;2

2;3;3;3;2

2;2;1;3;2

3;2;3;3;2

3.8

3.4

2.6

2

2.6

-0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0NvSMb7xgC

Auditing Predictive Models for Intersectional Biases

main

Active

predictive bias detection;fairness auditing;intersectional bias;contextual bias;group fairness definitions;subgroup bias;predictive bias

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

4;2;3;3

2;2;2;3

2;3;2;3

1;2;2;3

4.75

3

2.25

2.5

2

-0.648886

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0OB3RVmTXE

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models

main

Active

machine unlearning;concept unlearning;evaluation;diffusion models;text to image

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

4;4;4;3

1;2;2;2

3;2;2;3

3;2;3;2

4

3.75

1.75

2.5

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0OTVNEm9N4

Rethinking Copyright Infringements In the Era Of Text-to-Image Generative Models

main

Active

evaluating copying;copyright;generative ai;text-to-image;ai art;law;interpretability;social impact

alignment, fairness, safety, privacy, and societal considerations

3;5;6;8

4;4;4;3

1;2;3;4

2;2;3;4

3;2;3;4

5.5

3.75

2.5

2.75

3

-0.800641

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0OzDMjPHa3

Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis

main

Active

Implicit neural representation;pruning;visualization;adaptive mesh refinement

other topics in machine learning (i.e., none of the above)

3;3;3;5

5;3;3;3

1;2;2;2

2;2;1;3

2;3;1;2

3.5

1.75

2

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0PC9goPpuz

Compatibility-aware Single-cell Continual Annotation

main

Withdraw

Continual Compatible learning; Single-Cell RNA-seq data

applications to physical sciences (physics, chemistry, biology, etc.)

Yuyao Zhai;Liang Chen;Minghua Deng

~Yuyao_Zhai1;~Liang_Chen5;~Minghua_Deng2

3;3;5

4;4;4

2;3;2

1;2;2

2;3;3

3.666667

4

2.333333

1.666667

2.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

0PcJAHbSmc

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

main

Active

4D Gaussian Reconstruction; Autonomous Driving

applications to robotics, autonomy, planning

5;6;6

3;4;4

3;3;3

2;3;2

2;2;3

5.666667

3.666667

3

2.333333

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0PxLpVURTl

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations

main

Active

self-supervised learning;masked image modeling;instance discrimination;computer vision;contrastive learning

unsupervised, self-supervised, semi-supervised, and supervised representation learning

6;6;6;8

4;4;4;4

3;3;3;3

2;3;3;3

3;3;3;4

6.5

4

3

2.75

3.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0QJPszYxpo

Extended Flow Matching : a Method of Conditional Generation with Generalized Continuity Equation

main

Active

Flow Matching;Generative Model

generative models

3;3;5;5;6

5;4;3;4;3

3;1;2;3;2

2;1;2;2;3

2;1;2;3;2

4.4

3.8

2.2

2

-0.801784

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0QZcoGdmtJ

Auditing $f$-Differential Privacy in One Run

main

Active

Differential privacy;Auditing privacy

alignment, fairness, safety, privacy, and societal considerations

3;6;8

5;3;3

3;3;3

1;2;2

5.666667

3.666667

3

1.666667

-0.917663

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0QePvFoqY6

IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera

main

Active

3D Gaussian;Event Camera

applications to computer vision, audio, language, and other modalities

3;5;5;5

5;4;4;4

3;4;2;2

3;3;3;2

2;2;2;3

4.5

4.25

2.75

2.25

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0QkVAxJ5iZ

FacLens: Transferable Probe for Foreseeing Non-Factuality in Large Language Models

main

Active

Large language models;hidden question representation;non-factuality predictor;transferability

alignment, fairness, safety, privacy, and societal considerations

3;5;5;8

4;4;3;4

2;3;2;4

2;2;3;3

3;3;3;3

5.25

3.75

2.75

2.5

3

0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0QnKnt411O

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation

main

Active

unsupervised reinforcement learning;zero-shot generalization;skill discovery;successor representation

reinforcement learning

5;5;8

5;4;3

3;2;3

2;3;4

6

4

2.666667

3

-0.866025

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0QvLISYIKM

Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study

main

Active

information theory;confidence estimation;deep neural networks

interpretability and explainable AI

3;5;6;6;6

4;3;4;3;3

1;2;3;3;3

1;3;3;2;3

2;3;4;3;2

5.2

3.4

2.4

2.8

-0.490098

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0R3ha8oNPU

SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI

main

Active

Code Generation;Cybersecurity;Safety;Large Language Models

datasets and benchmarks

3;3;5;5

3;4;3;3

2;2;2;2

3;2;2;3

2;2;2;3

4

3.25

2

2.5

2.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0R8JUzjSdq

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

main

Active

root cause analysis;multi-modal learning;microservice systems;benchmark data

datasets and benchmarks

3;3;5;5

3;5;4;4

2;2;2;3

3;1;2;2

2;3;3;3

4

2.25

2

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0RHMnPj8no

Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization

main

Active

Differential privacy;nonconvex optimization;nonsmooth optimization;Goldstein stationarity

alignment, fairness, safety, privacy, and societal considerations

3;5;6;8

4;4;3;3

2;3;3;3

2;2;2;3

2;3;3;4

5.5

3.5

2.75

2.25

3

-0.83205

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0RUQmLFF1D

Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models

main

Active

text-to-image;vision-language;computer vision;interpretability;alignment;fairness;safety

alignment, fairness, safety, privacy, and societal considerations

3;5;6;6

3;3;4;4

2;2;3;4

2;2;3;3

2;3;4;4

5

3.5

2.75

2.5

3.25

0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0Ra0E43kK0

CaLMol: Disentangled Causal Graph LLM for Molecular Relational Learning

main

Active

Molecular Relational Learning;Large language Model;Graph Neural Network;Causal Learning

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;3;6

4;5;4;4

3;3;2;3

2;3;2;2

2;3;2;3

3.75

4.25

2.75

2.25

2.5

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0RgLIMh94b

Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion

main

Active

Synthetic data;Curriculum Learning;Diffusion Models

generative models

3;3;5;5

4;4;4;4

2;2;3;3

2;2;3;2

2;2;3;3

4

2.5

2.25

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0SpkBUPjL3

Unremovable Watermarks for Open-Source Language Models

main

Active

watermark;large language model

alignment, fairness, safety, privacy, and societal considerations

3;3;3;5

3;4;5;3

2;2;2;2

1;2;1;2

4;2;1;2

3.5

3.75

2

1.5

2.25

-0.522233

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0T49QbSOho

Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds

main

Active

Replicability;Regret Bound;Bandit

learning theory

5;6;6;8

3;3;2;4

3;3;3;4

3;3;2;3

3;3;3;4

6.25

3

3.25

2.75

3.25

0.648886

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

0T8vCKa7yu

LLM Compression with Convex Optimization—Part 1: Weight Quantization

main

Active

weight quantization;model compression;large language models

optimization

3;3;3;3

4;5;4;4

2;3;2;2

2;2;1;2

2;3;3;2

3

4.25

2.25

1.75

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Some reviewers seem to be confused about how GPTQ and AWQ (Frantar et al., 2022; Lin et al.,...

0TSAIUCwpp

Diffusion-based Extreme Image Compression with Compressed Feature Initialization

main

Active

extreme image compression;diffusion models;compressed feature initialization;residual diffusion

generative models

3;3;5;6

4;4;4;4

2;2;2;3

2;3;2;3

4.25

4

2.25

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0Th6bCZwKt

Gaussian Mixture Models Based Augmentation Enhances GNN Generalization

main

Active

Graph Neural Networks;Data Augmentation

learning on graphs and other geometries & topologies

1;5;5;6

5;4;3;3

3;3;2;3

1;2;3;3

3;3;2;3

4.25

3.75

2.75

2.25

2.75

-0.902829

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

0UCkWfcfb9

OPTune: Efficient Online Preference Tuning

main

Active

Efficient RLHF; Online DPO;

foundation or frontier models, including LLMs

3;3;5;5;5

3;5;4;3;4

2;1;3;3;3

2;1;2;2;2

1;2;3;2;3

4.2

3.8

2.4

1.8

2.2

-0.218218

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0UCoWxPhQ4

SAVA: Scalable Learning-Agnostic Data Valuation

main

Active

Data Valuation;Optimal Transport;Data Selection;Active Learning

other topics in machine learning (i.e., none of the above)

5;6;6

3;4;4

3;3;3

2;3;3

3;3;3

5.666667

3.666667

3

2.666667

3

1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0ULf242ApE

From Context to Concept: Concept Encoding in In-Context Learning

main

Active

mechanistic interpretability;in-context learning;large language models

interpretability and explainable AI

3;5;5;6

4;2;4;4

3;3;3;3

2;2;2;3

2;3;2;4

4.75

3.5

3

2.25

2.75

-0.132453

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

0UO1mH3Iwv

Edge-aware Image Smoothing with Relative Wavelet Domain Representation

main

Active

Image smoothing;Wavelet transformation;Relative wavelet domain representation;Edge-preserving;Non-convex optimization

optimization

6;6;6

4;5;3

3;3;3

2;3;3

3;3;4

6

4

3

2.666667

3.333333

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

0UvlnHgaii

Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers

main

Active

Inverse Reinforcement Learning;Generative Diffusion Model

reinforcement learning

5;5;6

3;3;3

3;2;3

2;2;3

5.333333

3

2.666667

2.333333

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...