babytreecc/ICLR2025review · Datasets at Hugging Face

zi8YBcmXqA

PokeChamp: an Expert-level Minimax Language Agent for Competitive Pokemon

main

Active

multiagent;LLM agents;competitive games;game theory;reinforcement learning

foundation or frontier models, including LLMs

3;3;6;6

4;3;3;4

2;2;3;3

1;2;3;3

2;2;3;3

4.5

3.5

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":...

ziB549CQ30

Solving the Fuzzy Job Shop Scheduling Problem via Learning Approaches

main

Active

Fuzzy job shop scheduling problem;neural combinatorial optimization;self-supervised learning

optimization

3;3;3;5

3;5;4;3

2;1;2;3

1;1;2;2

2;2;2;3

3.5

3.75

2

1.5

2.25

-0.522233

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ziw5bzg2NO

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding

main

Active

Hallucination;Multimodal Hallucination;Large Vision-Language Model

generative models

5;5;6;6

4;3;3;5

3;3;3;3

2;2;3;3

4;3;4;3

5.5

3.75

3

2.5

3.5

0.301511

[ { "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":...

zjAEa4s3sH

Lines of Thought in Large Language Models

main

Active

LLM;latent space;token trajectories;interpretability;transformer

interpretability and explainable AI

3;3;6;8

3;3;3;3

1;3;3;3

1;2;3;3

2;2;3;4

5

3

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": 3 }, "contribution": { "value":...

zjeHLSiNv1

Ultra-Sparse Memory Network

main

Active

Large language model;sparse model;scaling law

foundation or frontier models, including LLMs

5;5;6;6

4;4;2;4

3;4;3;3

3;3;3;3

3;2;2;2

5.5

3.5

3.25

3

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": 4 }, "contribution": { "value":...

zkGxROm7D3

State & Image Guidance: Teaching Old Text-to-Video Diffusion Models New Tricks

main

Active

Text-to-Video Generation;Diffusion Models;Diffusion Guidance;Zero-shot Image-to-Video Generation

generative models

5;5;5

3;3;5

2;3;3

2;2;2

2;2;3

5

3.666667

2.666667

2

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": 5 }, "contribution": { "value":...

zkMRmW3gcT

Elucidating the Design Space of Language Models for Image Generation

main

Active

Image generation;Large language model;Generative model

foundation or frontier models, including LLMs

3;3;5;5;5

4;3;3;3;3

2;2;3;3;2

2;2;3;2;2

2;2;2;2;3

4.2

3.2

2.4

2.2

-0.612372

[ { "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":...

zkNCWtw2fd

Synergistic Approach for Simultaneous Optimization of Monolingual, Cross-lingual, and Multilingual Information Retrieval

main

Active

Information Retrieval;Multilingualism and Cross-Lingual NLP;Question Answering

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

3;3;3

4;3;4

3;2;2

1;2;2

2;2;3

3

3.666667

2.333333

1.666667

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": 4 }, "contribution": { "value":...

zkn2tvtt8J

DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training

main

Active

Diffusion Models;Generative AI;Medical Imaging;Self-Supervision

generative models

3;3;5;8

5;4;4;4

2;3;3;3

1;2;3;3

2;4;2;3

4.75

4.25

2.75

2.25

2.75

-0.493742

[ { "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":...

zl0HLZOJC9

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution

main

Active

learning to defer;expectation - maximisation

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

6;6;6;8

2;2;3;3

3;3;3;3

6.5

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":...

zl3nFqY8l1

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering

main

Active

Rule-Guided Retrieval;Rule-Guided Generation;RAG;Question Answering

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

3;5;5;6;6

3;3;3;4;3

3;3;2;3;3

2;3;2;3;3

3;3;3;4;3

5

3.2

2.8

2.6

3.2

0.456435

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zl3pfz4VCV

MMTEB: Massive Multilingual Text Embedding Benchmark

main

Active

natural language processing;benchmark;sentence embeddings;multilingual

datasets and benchmarks

5;6;8;8

5;3;4;4

3;3;4;3

3;3;4;4

2;2;3;3

6.75

4

3.25

3.5

2.5

-0.272166

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zlAUnwhE2v

ChemThinker: Thinking Like a Chemist with Multi-Agent LLMs for Deep Molecular Insights

main

Active

Molecular Property Prediction;Molecular Representation Learning;Multi-Agent LLMs

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

1;3;3;5

4;4;5;4

2;1;2;2

1;2;2;2

3

4.25

1.75

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":...

zmHqlXGTTl

SciPG: A New Benchmark and Approach for Layout-aware Scientific Poster Generation

main

Active

Scientific poster generation;multimodal extraction;multimodal generation

datasets and benchmarks

3;6;6;6

4;3;3;4

3;3;3;3

2;3;3;3

3;2;3;3

5.25

3.5

3

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": 4 }, "contribution": { "value":...

zmmfsJpYcq

IgGM: A Generative Model for Functional Antibody and Nanobody Design

main

Active

de novo antibody design;complex structure prediction;protein design

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

3;5;5;8

4;4;4;4

3;2;3;2

2;2;2;4

2;3;3;3

5.25

4

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":...

zn0eqMtsrw

GUD: Generation with Unified Diffusion

main

Active

diffusion models;renormalization group;autoregressive models;wavelet decomposition;denoising score matching

generative models

3;6;6;6

4;3;4;4

3;3;4;3

2;4;3;3

3;3;3;3

5.25

3.75

3.25

3

-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":...

znGnmAM44K

The other you in black mirror: first steps from chatbots to personalized LLM clones

main

Active

Large Language Models (LLMs);Personalized AI;Turing Test;AI Safety

alignment, fairness, safety, privacy, and societal considerations

3;5;5;5

4;4;4;4

2;3;2;2

2;2;2;3

2;3;2;3

4.5

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":...

znL549Ymoi

Interpretability of LLM Deception: Universal Motif

main

Active

safety;honesty;deception;lie;interpretability;Large Language Model

alignment, fairness, safety, privacy, and societal considerations

3;3;6;10

5;4;3;5

1;3;3;3

1;3;3;4

1;1;2;4

5.5

4.25

2.5

2.75

2

0.157459

[ { "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":...

znhZbonEoe

Understanding the Stability-based Generalization of Personalized Federated Learning

main

Active

stability analysis+generalization gap+excess risk+personalized federated learning

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

3;5;6;8

4;4;4;4

2;2;3;4

2;2;3;3

1;2;3;3

5.5

4

2.75

2.5

2.25

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":...

zno7tZVG8T

Extreme composite compression of large language models through joint optimization

main

Active

model quantization;model compression;sparsification;joint optimization

generative models

3;3;5;6

4;4;4;3

3;2;3;3

2;1;2;3

3;2;3;2

4.25

3.75

2.75

2

2.5

-0.777778

[ { "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":...

zo049dh2r9

3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views

main

Active

3D reconstruction;Car reconstruction;Car dataset

datasets and benchmarks

5;5;6

4;5;4

3;2;4

2;1;3

3;3;3

5.333333

4.333333

3

2

3

-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":...

zp88xOXAfS

Linearly Interpretable Concept Embedding Model for Text Classification

main

Active

CBM;XAI;Interpretable AI

interpretability and explainable AI

3;5;5;5;6

2;4;4;5;4

2;2;3;2;3

2;2;3;2;2

2;3;3;3;3

4.8

3.8

2.4

2.2

2.8

0.791667

[ { "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":...

zpBamnxyPm

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

main

Active

evaluations;benchmarks;scaling laws;emergent abilities;capabilities;frontier models;foundation models

foundation or frontier models, including LLMs

5;6;6;6

4;3;4;3

2;4;3;3

2;3;3;3

3;3;3;4

5.75

3.5

3

2.75

3.25

-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":...

zpDGwcmMV4

How Can Language Models Learn from Mistakes on Grade-School Math Problems

main

Active

pretraining;language model;error correction;error detection

interpretability and explainable AI

5;6;6;8

3;4;4;3

3;4;3;4

2;3;3;3

2;3;4;3

6.25

3.5

2.75

3

-0.229416

[ { "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":...

zpENPcQSj1

Generalizing Reasoning Problems to Longer Lengths

main

Active

length generalization;learning to reason;length extrapolation

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

5;5;8

4;3;4

3;3;3

2;2;3

2;3;3

6

3.666667

3

2.333333

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":...

zpLcZ2AyDK

GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning

main

Active

In-context learning;multi-step reasoning;thought graphs;large language model

foundation or frontier models, including LLMs

3;5;5;6

4;3;3;3

3;3;2;3

3;3;3;3

2;3;1;3

4.75

3.25

2.75

3

2.25

-0.927173

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zpX0teJu9Z

Geometry-Informed Neural Networks

main

Active

geometry;implicit neural representation;neural fields;theory-informed learning;geometric deep learning;physics-informed neural networks;generative design

learning on graphs and other geometries & topologies

3;5;5;6

4;2;3;3

2;2;2;2

2;2;2;3

2;2;4;3

4.75

3

2

2.25

2.75

-0.648886

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zq1zTgSBro

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field

main

Active

Spatial Acoustic Effects;Receiver-to-Receiver;Neural Warping Field

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

3;3;5;10

4;4;3;4

2;3;2;4

1;2;2;4

2;3;3;4

5.25

3.75

2.75

2.25

3

0.050443

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zqA19DirIT

REAL-TIME LAYOUT ADAPTATION USING GENERATIVE AI

main

Desk Reject

GenAI;SupervisedLearning;React;Web-Design;ChatGPT

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

Sanshray Singh Langeh;Mandar Zope

~Sanshray_Singh_Langeh1;~Mandar_Zope1

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": { "value": "the pape...

zqXANcFO9T

Compressed Decentralized Learning with Error-Feedback under Data Heterogeneity

main

Active

distributed training;error-feedback;convergence analysis

optimization

1;1;3

5;4;4

1;1;2

2;1;3

1.666667

4.333333

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":...

zqo2eKjSWH

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models

main

Withdraw

Image Watermark;Diffusion Model;AI-generated Image

alignment, fairness, safety, privacy, and societal considerations

Yuepeng Hu;Zhengyuan Jiang;Moyang Guo;Neil Zhenqiang Gong

~Yuepeng_Hu1;~Zhengyuan_Jiang1;~Moyang_Guo1;~Neil_Zhenqiang_Gong1

3;5;5;5

4;4;4;3

2;2;4;3

1;2;3;2

2;3;4;3

4.5

3.75

2.75

2

3

-0.333333

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zqtql1YmlS

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

main

Active

Offline Reinforcement Learning; Data Selection; Grad Match

reinforcement learning

3;5;5;6

4;4;3;3

1;2;2;3

1;3;2;3

2;3;2;3

4.75

3.5

2

2.25

2.5

-0.688247

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zqzsZ5cXbB

Let the Code LLM Edit Itself When You Edit the Code

main

Active

code generation;efficiency;large language model;code assistant

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

1;5;6;6

4;2;4;3

1;2;4;3

3;3;3;3

4.5

3.25

2.5

3

-0.365636

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zrNbsV87Os

SSIF: Physics-Inspired Implicit Representations for Spatial-Spectral Image Super-Resolution

main

Active

Neural Implicit Function;Spatial-Spectral Super Resolution;Spectral Encoding

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

5;5;5;5

5;5;3;5

2;2;3;3

2;3;3;3

2;2;3;3

5

4.5

2.5

2.75

2.5

0

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zrdkQaf48Z

Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs

main

Active

LLM;Benchmark;Evaluation;Psychometrics

alignment, fairness, safety, privacy, and societal considerations

3;3;5;5

4;3;4;3

2;2;3;3

2;2;2;2

2;4;2;3

4

3.5

2.5

2

2.75

0

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zs6bRl05g8

Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Correction

main

Active

Block coordinate descent;large language model finetuning

optimization

3;3;5;6

3;4;3;3

2;3;2;3

2;2;2;3

1;3;3;3

4.25

3.25

2.5

2.25

2.5

-0.555556

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zsVZCiYG2r

ChatSR: Conversational Symbolic Regression

main

Active

Symbolic Regression;Multi-modal Large Language Models;Scientific discovery

foundation or frontier models, including LLMs

3;3;3;6

3;4;3;3

2;2;2;3

2;1;2;3

2;2;2;2

3.75

3.25

2.25

2

-0.333333

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ztT70ubhsc

KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models

main

Active

Computer Vision;Image Generation;Text-to-Image Generation;Conditional Image Generation;Diffusion Models

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

1;5;5;5

5;3;5;5

2;2;2;2

1;3;2;2

4

4.5

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": 5 }, "contribution": { "value":...

ztzZDzgfrh

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

main

Active

Retrieval-Augmented Generation Hallucination;Hallucination Detection;Mechanistic Interpretability

alignment, fairness, safety, privacy, and societal considerations

5;6;8

4;3;4

3;3;4

2;3;3

6.333333

3.666667

3.333333

2.666667

0.188982

[ { "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":...

zu7cBTPsDb

MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow

main

Active

4D Generation;Dynamic 3D Gaussian Splatting;Dynamic Reconstruction;Diffusion Models

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

5;5;5;6

4;5;5;4

2;3;2;3

2;2;2;3

5.25

4.5

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": 4 }, "contribution": { "value":...

zuKrRYM3Tg

Quantized Approximately Orthogonal Recurrent Neural Networks

main

Active

ecurrent neural networks;neural network quantization;orthogonal recurrent neural networks;quantization bitwidth

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

1;3;3;5

5;3;4;3

3;2;2;2

1;2;1;2

4;2;3;2

3

3.75

2.25

1.5

2.75

-0.852803

[ { "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":...

zuOnOAHBMy

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization

main

Active

optimization;large language models

foundation or frontier models, including LLMs

3;3;3;5

4;4;4;3

2;2;3;2

1;2;2;3

3;2;3;2

3.5

3.75

2.25

2

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":...

zuuhtmK1Ub

Differentiable Implicit Solver on Graph Neural Networks for Forward and Inverse Problems

main

Active

Graph Neural Networks;Differentiable solvers;Implicit schemes;Numerical modelling;Inverse problems

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

1;1;3;3

3;3;4;3

2;2;1;1

1;1;2;2

1;1;1;1

2

3.25

1.5

1

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":...

zv9jedBExg

Role of Momentum in Smoothing Objective Function and Generalizability of Deep Neural Networks

main

Active

deep learning theory;degree of smoothing;generalizability;nonconvex optimization;SGD with momentum;smoothing property

optimization

3;3;3;6

4;4;4;4

1;2;2;3

2;1;2;3

2;2;3;3

3.75

4

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":...

zvYJ1qG1Fy

Parameter Space Representation Learning on Mixed-type Data

main

Active

Representation learning; Parameter space; Diffusion model; Bayesian flow networks

generative models

3;3;5;5

3;3;3;2

2;3;3;2

2;2;2;3

1;1;2;2

4

2.75

2.5

2.25

1.5

-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":...

zvaiz3FjA9

Designing Concise ConvNets with Columnar Stages

main

Active

Convolutional Neural Networks;Columnar Stages;Input Replication;Image Classification;Detection

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

3;6;6

5;3;4

3;3;3

5

4

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":...

zvoM1Wastw

A Provable Quantile Regression Adapter via Transfer Learning

main

Withdraw

Transfer Learning;Adaptation;Quantile Regression;High-dimensional Statistics;Convergence Rate

transfer learning, meta learning, and lifelong learning

Rushuai Yang;Aiqi Zhang;Chenjia Bai;Xiu Su;Yi Chen

~Rushuai_Yang1;~Aiqi_Zhang1;~Chenjia_Bai2;~Xiu_Su1;~Yi_Chen18

3;3;3;5

4;4;3;3

2;3;2;2

2;1;1;1

2;3;2;3

3.5

2.25

1.25

2.5

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Dear Program Committee and Reviewers,\n\nAfter careful consideration, we have decided to wit...

zweyouirw7

Spiking Transformer-CNN for Event-based Object Detection

main

Active

Event data;Object detection;Spike neural networks;Low power consumption;Transformer-CNN

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

3;3;3;5

5;4;4;4

2;2;2;2

3.5

4.25

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": 4 }, "contribution": { "value":...

zwuemuTiN8

TACD-GRU: Time-Aware Context-Dependent Autoregressive Model for Irregularly Sampled Time Series

main

Active

Time series models;Irregularly sampled time-series;Autoregressive models;Recurrent neural networks

learning on time series and dynamical systems

3;5;5;6

4;3;4;3

1;2;3;3

1;2;2;2

3;2;3;3

4.75

3.5

2.25

1.75

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": 3 }, "contribution": { "value":...

zxO4WuVGns

Inverse decision-making using neural amortized Bayesian actors

main

Active

Bayesian actor models;perception and action;cognitive science;Bayesian inference;inverse modeling

applications to neuroscience & cognitive science

3;3;6

2;3;2

3;2;3

2;2;4

3;2;4

4

2.333333

2.666667

3

-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":...

zxbQLztmwb

Emergent Symbol-Like Number Variables in Artificial Neural Networks

main

Active

mechanistic interpretability;numeric cognition;causal interventions;DAS

interpretability and explainable AI

3;3;5;6

3;4;4;2

3;3;2;3

2;2;2;3

3;3;2;4

4.25

3.25

2.75

2.25

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": 4 }, "contribution": { "value":...

zxg6601zoc

Re-Imagining Multimodal Instruction Tuning: A Representation View

main

Active

Representation Tuning;Large Multimodal Models;Parameter-efficient Fine-tuning

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

3;6;6;6

5;3;3;4

2;3;3;3

5.25

3.75

2.75

-0.870388

[ { "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":...

zxqdVo9FjY

Generalization for Least Squares Regression with Simple Spiked Covariances

main

Active

Generalization;Random Matrix Theory;Spiked Covariance;Two Layer Network;Layer Wise Training

learning theory

3;3;3;5;5

3;4;4;3;3

2;3;2;3;2

2;2;1;3;1

2;3;1;4;3

3.8

3.4

2.4

1.8

2.6

-0.666667

[ { "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 comments and help in improving the paper and hope that our ...

zyGrziIVdE

Exploration by Running Away from the Past

main

Active

Reinforcement Learning;Exploration;Deep Learning

reinforcement learning

3;3;3;5

4;3;4;4

3;1;2;2

2;3;2;2

3;2;3;3

3.5

3.75

2

2.25

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":...

zz9jAssrwL

Bayesian Policy Distillation via Offline RL for Lightweight and Fast Inference

main

Withdraw

neural network compression;reinforcement learning;robot learning

reinforcement learning

Jangwon Kim;Yoonsu Jang;Jonghyeok Park;Yoonhee Gil;Soohee Han

~Jangwon_Kim2;~Yoonsu_Jang1;~Jonghyeok_Park3;~Yoonhee_Gil1;~Soohee_Han1

3;3;6

4;3;3

2;3;4

2;2;3

2;2;2

4

3.333333

3

2.333333

2

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "On behalf of my co-authors, I sincerely thank the reviewers for their thoughtful feedback an...

zzR1Uskhj0

High Probability Bounds for Cross-Learning Contextual Bandits with Unknown Context Distributions

main

Active

contextual bandits;cross-learning;high-probability bounds

learning theory

3;5;6;6;8

3;3;4;3;3

2;3;3;4;4

2;3;3;3;3

1;3;3;3;3

5.6

3.2

2.8

2.6

0.123091

[ { "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":...