Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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23,401 to 23,460 of 33,218

Automated Directed Fairness Testing
Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay
cs.LGcs.AIcs.SEarXiv:1807.00468v22018
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi, Fei Sha
cs.LGstat.MLarXiv:1206.6438v12012
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos, Maximilian L. Croci, Marcelo Gennari do Nascimento +2
cs.LGcs.CLarXiv:2401.15024v22024
FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search
Cassandra Durr, Alvaro Köhn-Luque, Chris Jewell +1
stat.MLcs.LGphysics.data-anarXiv:2609.05207v12026
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee, Anusha Nagabandi, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1907.00953v42019
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu, Hung H. Bui, Hirokazu Narui +1
stat.MLcs.CVcs.LGarXiv:1802.08735v22018
SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
Azmine Toushik Wasi, Wahid Faisal, Abdur Rahman +12
cs.CVcs.CEcs.CLarXiv:2602.03916v32026
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
cs.CLcs.AIcs.CVarXiv:1505.01809v32015
Minimizing Polarization and Disagreement in Social Networks
Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis
cs.SIcs.DScs.LGarXiv:1712.09948v12017
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh +2
cs.CVcs.LGarXiv:2108.11249v12021
Practical One-Shot Federated Learning for Cross-Silo Setting
Qinbin Li, Bingsheng He, Dawn Song
cs.LGstat.MLarXiv:2010.01017v22020
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu, Kangning Liu, Weicheng Zhu +2
cs.CVcs.LGarXiv:2110.03740v22021
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Hung Le, Quang Pham, Doyen Sahoo +1
cs.CRcs.LGarXiv:1802.03162v22018
Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency
Brian Zhu, Momen Khalil, E Harrison +17
cs.ROcs.LGarXiv:2608.23831v12026
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien, Chao Pan, Jianhao Peng +1
cs.LGcs.AIarXiv:2106.13264v42021
Test-Time Scaling for Scientific Equation Discovery
Haowei Lin, Hubert Lim, Xiangyu Wang +2
cs.CLcs.AIcs.LGarXiv:2608.28660v12026
Read What Matters: Query-Adaptive Quantization for KV Caches
Siddharth Bhandari, Lucas Gretta, Krishna Balasubramanian +1
cs.LGcs.CLcs.PFarXiv:2610.11245v12026
Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge
Neeraj Yadav
cs.CLcs.AIcs.ETarXiv:2606.26511v12026
Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics
Xiao Yang, Yinan Ni, Yuqi Tang +3
cs.DCcs.LGarXiv:2601.20389v12026
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang +4
cs.IRcs.LGarXiv:1909.03602v32019
Maxout Networks
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza +2
stat.MLcs.LGarXiv:1302.4389v42013
Summaries:한국어
How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention
Gerard Conangla Planes
cs.LGcs.AIcs.CLarXiv:2608.26052v12026
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Bing Su, Dazhao Du, Zhao Yang +6
cs.LGcs.AIarXiv:2209.05481v12022
Learning Kilometer-Scale Weather Prediction with Global-Regional Alignment
Guowen Li, Yang Liu, Yujie Wang +5
cs.LGarXiv:2610.12401v12026
Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
Jeonghye Kim, Xufang Luo, Minbeom Kim +3
cs.AIcs.LGarXiv:2603.15500v22026
Submodular Functions: from Discrete to Continous Domains
Francis Bach
cs.LGmath.OCarXiv:1511.00394v22015
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta +2
cs.CLcs.LGarXiv:2004.07453v22020
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang, Junyang Lin, Chang Zhou +2
cs.LGarXiv:2203.12221v12022
Reward Inflation: A Healthy Stimulus for Reinforcement Learning
Ganghun Lee, Minji Kim, Minsu Lee +1
cs.LGarXiv:2610.02545v12026
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang, Igor Mordatch, Deepak Pathak
cs.LGcs.CVstat.MLarXiv:2007.04976v12020
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang, Tadashi Kozuno, Mark Rowland +2
cs.LGstat.MLarXiv:2106.13125v22021
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen +3
cs.LGstat.MLarXiv:1707.06422v32017
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang, Chunyuan Li, Pengchuan Zhang +4
cs.CVcs.AIcs.LGarXiv:2204.03610v12022
Graph Neural Networks in Modern AI-aided Drug Discovery
Odin Zhang, Haitao Lin, Xujun Zhang +9
q-bio.BMcs.LGarXiv:2506.06915v12025
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord, Sander Dieleman, Heiga Zen +6
cs.SDcs.LGarXiv:1609.03499v22016
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi, Sara Rojas, Ali Thabet +1
cs.CVcs.CRcs.LGarXiv:1912.00461v22019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina +1
cs.LGcs.CVarXiv:1905.12107v12019
Progress measures for grokking via mechanistic interpretability
Neel Nanda, Lawrence Chan, Tom Lieberum +2
cs.LGcs.AIarXiv:2301.05217v32023
You Can't Escape Your Own Activations : Evaluation Awareness and Multi-Agent Monitoring
Aritra Das, Jaee Ponde, Mihir More +1
cs.MAcs.LGarXiv:2609.03035v12026
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization
Haina Zhu, Yizhi Zhou, Hangting Chen +6
cs.SDcs.AIcs.CLarXiv:2501.01108v22025
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper, Max Nadeau, Dylan Hadfield-Menell +1
cs.LGcs.AIcs.CVarXiv:2110.03605v72021
Echo-Memory: A Controlled Study of Memory in Action World Models
Wayne King, Zeyue Xue, Yuxuan Bian +13
cs.CVcs.GRcs.LGarXiv:2606.09803v12026
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
Yubin Kim, Xuhai Xu, Daniel McDuff +2
cs.CLcs.AIcs.LGarXiv:2401.06866v22024
cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents
Pranjal Aggarwal, Lawrence Keunho Jang, Sean Welleck +3
cs.LGcs.AIcs.CLarXiv:2609.40284v12026
A Fourier Space Perspective on Diffusion Models
Fabian Falck, Teodora Pandeva, Kiarash Zahirnia +5
stat.MLcs.CVcs.LGarXiv:2505.11278v12025
Legal RAG Bench: an end-to-end benchmark for legal RAG
Abdur-Rahman Butler, Umar Butler
cs.CLcs.IRcs.LGarXiv:2603.01710v12026
Robust conditional dimension reduction for dissimilarity data
Xiao Ling, Anh Bui
stat.MLcs.LGmath.OCarXiv:2609.06284v12026
Causal Foundation Models
Christopher Stith, Hossein Rahmani, Jesse C. Cresswell
cs.LGstat.MLarXiv:2609.03003v12026
A Time-Vertex Signal Processing Framework
Francesco Grassi, Andreas Loukas, Nathanaël Perraudin +1
cs.LGarXiv:1705.02307v12017
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian V. Serban +3
cs.CLcs.AIcs.LGarXiv:1708.07149v22017
Prediction-Powered Data Fusion for Treatment Effect Estimation
Yonghan Jung, Shu Yang
stat.MLcs.AIcs.LGarXiv:2610.12332v12026
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama, Lukas Burkhalter, Alexander Viand +2
cs.CRcs.LGarXiv:2107.03311v42021
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves
Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian +1
cs.CVcs.LGarXiv:2605.14068v22026
Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh +1
cs.AIcs.LGstat.MLarXiv:1502.03919v22015
Deflating the Hessian: Rank-4 W4A4 Quantization for Multimodal Diffusion Transformers
Shiwen Wang, Pengxiang Zhao, Xiaoming Yuan
cs.LGcs.CVmath.OCarXiv:2610.11315v12026
CRNDiff: Count-Native Diffusion Framework via Chemical Reaction Networks
Yuxuan Qiu, Praful Gagrani, Tetsuya J Kobayashi
cs.LGarXiv:2609.31149v12026
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu +5
cs.CVcs.LGarXiv:2111.08644v32021
A review of mean-shift algorithms for clustering
Miguel Á. Carreira-Perpiñán
cs.LGcs.CVstat.MLarXiv:1503.00687v12015
Subject-Aware Contrastive Learning for Biosignals
Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz +2
cs.LGeess.SPstat.MLarXiv:2007.04871v12020
Optimized U-Net for Brain Tumor Segmentation
Michał Futrega, Alexandre Milesi, Michal Marcinkiewicz +1
eess.IVcs.CVcs.LGarXiv:2110.03352v22021

Machine Learning

Automated Directed Fairness Testing

Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation

SliceGPT: Compress Large Language Models by Deleting Rows and Columns

FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

A DIRT-T Approach to Unsupervised Domain Adaptation

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

Language Models for Image Captioning: The Quirks and What Works

Minimizing Polarization and Disagreement in Social Networks

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation

Practical One-Shot Federated Learning for Cross-Silo Setting

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

Test-Time Scaling for Scientific Equation Discovery

Read What Matters: Query-Adaptive Quantization for KV Caches

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge

Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems

Maxout Networks

How Much Rank Does LoRA Need? Rank-Error Bounds for Transformer Attention

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

Learning Kilometer-Scale Weather Prediction with Global-Regional Alignment

Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty

Submodular Functions: from Discrete to Continous Domains

The Right Tool for the Job: Matching Model and Instance Complexities

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)

Reward Inflation: A Healthy Stimulus for Reinforcement Learning

One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control

Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

Unified Contrastive Learning in Image-Text-Label Space

Graph Neural Networks in Modern AI-aided Drug Discovery

WaveNet: A Generative Model for Raw Audio

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers

Progress measures for grokking via mechanistic interpretability

You Can't Escape Your Own Activations : Evaluation Awareness and Multi-Agent Monitoring

MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Robust Feature-Level Adversaries are Interpretability Tools

Echo-Memory: A Controlled Study of Memory in Action World Models

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents

A Fourier Space Perspective on Diffusion Models

Legal RAG Bench: an end-to-end benchmark for legal RAG

Robust conditional dimension reduction for dissimilarity data

Causal Foundation Models

A Time-Vertex Signal Processing Framework

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses

Prediction-Powered Data Fusion for Treatment Effect Estimation

RoFL: Robustness of Secure Federated Learning

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves

Policy Gradient for Coherent Risk Measures

Deflating the Hessian: Rank-4 W4A4 Quantization for Multimodal Diffusion Transformers

CRNDiff: Count-Native Diffusion Framework via Chemical Reaction Networks

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

A review of mean-shift algorithms for clustering

Subject-Aware Contrastive Learning for Biosignals

Optimized U-Net for Brain Tumor Segmentation