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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27,481 to 27,540 of 33,109

Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions
Jaewoo Ahn, Junseo Kim, Hyunseo Kim +4
cs.CLcs.AIcs.CVarXiv:2608.30428v12026
FedGenSC: Federated Generative Semantic Communication with Channel-Aware Adaptation
Rita Abou Fares, Razan Al Kakoun, Maher Nouiehed +1
eess.SPcs.LGarXiv:2609.08593v12026
Self-training and Pre-training are Complementary for Speech Recognition
Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko +5
cs.LGcs.SDeess.ASarXiv:2010.11430v12020
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition
Zhongtian Chen, Edmund Lau, Jake Mendel +2
cs.LGcs.AIarXiv:2310.06301v12023
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models
Yize Li, Ningyuan Yang, Sile Yin +6
cs.SDcs.LGeess.ASarXiv:2608.22236v12026
SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions
Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal +1
cs.LGarXiv:2606.30573v12026
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu, Jiarui Yao, Manli Shu +5
cs.CRcs.AIcs.LGarXiv:2402.06659v22024
The Alignment Problem from a Deep Learning Perspective
Richard Ngo, Lawrence Chan, Sören Mindermann
cs.AIcs.LGarXiv:2209.00626v82022
AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models
Yuxiang Wang, Kunyu Feng, Yuancheng Wang +12
cs.CLcs.LGcs.SDarXiv:2610.01560v12026
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr Pong, Shixiang Gu, Murtaza Dalal +1
cs.LGarXiv:1802.09081v22018
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov +1
cs.CVcs.GRcs.LGarXiv:1905.08233v22019
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes
Nima Anari, Shayan Oveis Gharan, Alireza Rezaei
cs.LGcs.DSmath.PRarXiv:1602.05242v32016
An improvement of the convergence proof of the ADAM-Optimizer
Sebastian Bock, Josef Goppold, Martin Weiß
cs.LGcs.AIstat.MLarXiv:1804.10587v12018
GraphSkillEvo: Evolutionary Optimization of Graph-Structured Agent Skills
Rui Sun, Zhi Zheng, Zhenkun Wang +1
cs.LGarXiv:2609.21749v12026
Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks
Adam Haroon, Erick J. Rodríguez-Seda, Tristan Schuler +1
cs.LGcs.SYeess.SYarXiv:2609.12016v12026
State-Only Imitation Learning for Dexterous Manipulation
Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto +1
cs.ROcs.LGstat.MLarXiv:2004.04650v22020
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
cs.CLcs.AIcs.LGarXiv:2310.05189v22023
A Review of Feature Selection Methods Based on Mutual Information
Jorge R. Vergara, Pablo A. Estévez
cs.LGstat.MLarXiv:1509.07577v12015
HARBOR: Automated Harness Optimization
Biswa Sengupta, Jinhua Wang
cs.LGcs.AIarXiv:2604.20938v12026
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
stat.MLcs.LGarXiv:1601.06650v12016
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk
math.NAcs.LGarXiv:2102.02617v12021
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo, Ramakanth Pasunuru, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1805.11004v12018
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei +2
cs.LGarXiv:1803.01254v22018
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Sai Praneeth Karimireddy, Quentin Rebjock, Sebastian U. Stich +1
cs.LGmath.OCstat.MLarXiv:1901.09847v22019
DeepTriangle: A Deep Learning Approach to Loss Reserving
Kevin Kuo
stat.APcs.LGq-fin.RMarXiv:1804.09253v42018
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Ke Wang, Houxing Ren, Aojun Zhou +7
cs.CLcs.AIcs.CVarXiv:2310.03731v12023
Federated Learning with Label Distribution Skew via Logits Calibration
Jie Zhang, Zhiqi Li, Bo Li +4
cs.LGcs.AIarXiv:2209.00189v22022
Physics-Informed Diffusion Models
Jan-Hendrik Bastek, WaiChing Sun, Dennis M. Kochmann
cs.LGcs.CEarXiv:2403.14404v42024
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
cs.CRcs.CVcs.LGarXiv:2108.00352v12021
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media
Shaoxing Mo, Yinhao Zhu, Nicholas Zabaras +2
stat.MLcs.LGarXiv:1807.00882v12018
Uncertainty of Vision Medical Foundation Models
Haoxu Huang, Narges Razavian
cs.LGarXiv:2608.30390v12026
Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming, Panpan Xu, Huamin Qu +1
cs.LGcs.HCstat.MLarXiv:1907.09728v12019
Persistent Cross Entropy
Sijin Yeom, Jae-Hun Jung
cs.LGcs.ITarXiv:2608.24549v12026
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
Vincent François-Lavet, Raphael Fonteneau, Damien Ernst
cs.LGcs.AIarXiv:1512.02011v22015
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell
cs.CVcs.LGarXiv:1506.03648v22015
Intensity-Free Learning of Temporal Point Processes
Oleksandr Shchur, Marin Biloš, Stephan Günnemann
cs.LGstat.MLarXiv:1909.12127v22019
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
Shu Zhang, Ran Xu, Caiming Xiong +1
cs.CVcs.AIcs.LGarXiv:2204.13207v12022
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.CVcs.LGarXiv:1906.05849v52019
Boltzmann Exploration Done Right
Nicolò Cesa-Bianchi, Claudio Gentile, Gábor Lugosi +1
cs.LGstat.MLarXiv:1705.10257v22017
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen, Yihe Deng, Huizhuo Yuan +2
cs.LGcs.AIcs.CLarXiv:2401.01335v32024
Design of a nickel-base superalloy using a neural network
B. D. Conduit, N. G. Jones, H. J. Stone +1
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:1803.03039v12018
Variational Auto-encoded Deep Gaussian Processes
Zhenwen Dai, Andreas Damianou, Javier González +1
cs.LGstat.MLarXiv:1511.06455v22015
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang, Ke Wang
cs.LGcs.IRstat.MLarXiv:1809.07428v12018
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Qixiu Li, Yaobo Liang, Zeyu Wang +15
cs.ROcs.AIcs.CLarXiv:2411.19650v12024
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai
math.STcs.LGstat.MLarXiv:1908.10292v22019
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini, Xingdi Yuan, Nikolay Malkin +3
cs.LGcs.AIcs.CLarXiv:2402.06457v22024
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27
cs.CYcs.CLcs.LGarXiv:2403.12025v22024
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
Alex Sherstinsky
cs.LGstat.MLarXiv:1808.03314v102018
Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces
Chongwen Huang, George C. Alexandropoulos, Chau Yuen +1
cs.ITcs.LGarXiv:1905.07726v12019
Deep Feature Learning for EEG Recordings
Sebastian Stober, Avital Sternin, Adrian M. Owen +1
cs.NEcs.LGarXiv:1511.04306v42015
Agentic Planning with Reasoning for Image Styling via Offline RL
Subhojyoti Mukherjee, Stefano Petrangeli, Branislav Kveton +3
cs.LGarXiv:2603.07148v12026
Learning to Watermark LLM-generated Text via Reinforcement Learning
Xiaojun Xu, Yuanshun Yao, Yang Liu
cs.LGcs.AIcs.CRarXiv:2403.10553v12024
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Kenneth Li, Aspen K. Hopkins, David Bau +3
cs.LGcs.AIcs.CLarXiv:2210.13382v52022
MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions
Wingho Feng, Quanwang Li, Ming Zhong +2
cs.CEcs.LGarXiv:2608.24531v12026
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu, Dong-Ki Kim, Jaekyeom Kim +4
cs.CLcs.LGarXiv:2403.08978v22024
Frontier Learning: Training LLM Reasoners at the Edge of Capability
Robin Faro, Shyam Sundhar Ramesh, Ilija Bogunovic +1
cs.LGcs.AIcs.CLarXiv:2609.35426v12026
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante +4
cs.CVcs.LGarXiv:1703.02161v22017
Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models
Simon Adamov, Oliver Fuhrer, Reto Knutti +1
cs.LGphysics.ao-pharXiv:2609.08412v12026
EBRL: Asynchronous Embodied RL by Multi-Grained Resource Management
Liang Mi, Weijun Wang, Bowen Gao +12
cs.LGcs.DCarXiv:2609.27547v12026
Deep MIMO Detection
Neev Samuel, Tzvi Diskin, Ami Wiesel
stat.MLcs.ITcs.LGarXiv:1706.01151v12017

Machine Learning

Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions

FedGenSC: Federated Generative Semantic Communication with Channel-Aware Adaptation

Self-training and Pre-training are Complementary for Speech Recognition

Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition

MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models

SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models

The Alignment Problem from a Deep Learning Perspective

AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models

Temporal Difference Models: Model-Free Deep RL for Model-Based Control

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes

An improvement of the convergence proof of the ADAM-Optimizer

GraphSkillEvo: Evolutionary Optimization of Graph-Structured Agent Skills

Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks

State-Only Imitation Learning for Dexterous Manipulation

Factuality Challenges in the Era of Large Language Models

A Review of Feature Selection Methods Based on Mutual Information

HARBOR: Automated Harness Optimization

Time-Varying Gaussian Process Bandit Optimization

A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

Error Feedback Fixes SignSGD and other Gradient Compression Schemes

DeepTriangle: A Deep Learning Approach to Loss Reserving

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Federated Learning with Label Distribution Skew via Logits Calibration

Physics-Informed Diffusion Models

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

Uncertainty of Vision Medical Foundation Models

Interpretable and Steerable Sequence Learning via Prototypes

Persistent Cross Entropy

How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Intensity-Free Learning of Temporal Point Processes

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

Contrastive Multiview Coding

Boltzmann Exploration Done Right

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Design of a nickel-base superalloy using a neural network

Variational Auto-encoded Deep Gaussian Processes

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System

CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels

V-STaR: Training Verifiers for Self-Taught Reasoners

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces

Deep Feature Learning for EEG Recordings

Agentic Planning with Reasoning for Image Styling via Offline RL

Learning to Watermark LLM-generated Text via Reinforcement Learning

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents

Frontier Learning: Training LLM Reasoners at the Edge of Capability

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models

EBRL: Asynchronous Embodied RL by Multi-Grained Resource Management

Deep MIMO Detection