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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5,941 to 6,000 of 20,198

Gossip Learning with Linear Models on Fully Distributed Data
Róbert Ormándi, István Hegedüs, Márk Jelasity
cs.LGcs.DCarXiv:1109.1396v32011
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
Zihan Liu, Zhuolin Yang, Yang Chen +4
cs.CLcs.AIcs.LGarXiv:2506.13284v12025
When Models Manipulate Manifolds: The Geometry of a Counting Task
Wes Gurnee, Emmanuel Ameisen, Isaac Kauvar +4
cs.LGarXiv:2601.04480v12026
Kernel-based Reconstruction of Graph Signals
Daniel Romero, Meng Ma, Georgios B. Giannakis
stat.MLcs.LGarXiv:1605.07174v12016
When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models
Smitha Muthya Sudheendra, Jaideep Srivastava
cs.CLcs.LGarXiv:2609.02438v12026
Compressed Sensing with Deep Image Prior and Learned Regularization
Dave Van Veen, Ajil Jalal, Mahdi Soltanolkotabi +3
stat.MLcs.ITcs.LGarXiv:1806.06438v42018
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
cs.LGcs.AIcs.SDarXiv:1701.03360v32017
Do Multilingual LLMs Think In English?
Lisa Schut, Yarin Gal, Sebastian Farquhar
cs.CLcs.AIcs.LGarXiv:2502.15603v12025
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
Chanwoo Jeong, Sion Jang, Hyuna Shin +2
cs.CLcs.IRcs.LGarXiv:1903.06464v12019
SMart: A Multi-source Multi-phase Time Series Representation Transfer Framework
Fang He, Wang-chien Lee
cs.LGcs.AIarXiv:2609.02203v12026
Schrödinger Bridges on Lie Group Manifolds for Probabilistic Intrinsic Generation
Shizhe Zhang, Mingyang Zhao, Lei Ma
stat.MLcs.AIcs.LGarXiv:2609.02196v12026
Anonymous Walk Embeddings
Sergey Ivanov, Evgeny Burnaev
cs.LGstat.MLarXiv:1805.11921v32018
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
cs.NEcs.AIcs.LGarXiv:1812.06574v32018
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
cs.LGcs.CVstat.MLarXiv:1905.04398v22019
RSL-RL: A Learning Library for Robotics Research
Clemens Schwarke, Mayank Mittal, Nikita Rudin +2
cs.ROcs.LGarXiv:2509.10771v12025
Visual Planning: Let's Think Only with Images
Yi Xu, Chengzu Li, Han Zhou +4
cs.LGcs.AIcs.CLarXiv:2505.11409v32025
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas, Cole Gulino, Simon Suo +3
cs.CVcs.LGcs.ROarXiv:2007.12036v12020
Variational Bayesian Unlearning
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
cs.LGstat.MLarXiv:2010.12883v12020
Tell me about yourself: LLMs are aware of their learned behaviors
Jan Betley, Xuchan Bao, Martín Soto +3
cs.CLcs.AIcs.CRarXiv:2501.11120v12025
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis
stat.MLcs.ITcs.LGarXiv:1404.4667v12014
Deep Learning for Time Series Forecasting: A Survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu +6
cs.LGcs.AIarXiv:2503.10198v12025
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar +1
cs.LGcs.AIcs.CRarXiv:2002.03018v42020
AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
Yujie Zhao, Boqin Yuan, Junbo Huang +9
cs.AIcs.LGarXiv:2602.22769v42026
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park, Jongin Lim, Younghan Jeon +1
cs.CVcs.LGarXiv:2110.02444v12021
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
Ailin Deng, Tri Cao, Zhirui Chen +1
cs.CVcs.AIcs.CLarXiv:2503.02199v12025
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Yapei Chang, Kyle Lo, Tanya Goyal +1
cs.CLcs.AIcs.LGarXiv:2310.00785v42023
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet +7
cs.LGcs.AIarXiv:2310.02391v42023
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Iulian Vlad Serban, Tim Klinger, Gerald Tesauro +4
cs.CLcs.AIcs.LGarXiv:1606.00776v22016
Sparse Autoencoders Trained on the Same Data Learn Different Features
Gonçalo Paulo, Nora Belrose
cs.LGarXiv:2501.16615v22025
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
Liang Li, Dian Shi, Ronghui Hou +3
cs.LGcs.AIarXiv:2012.11804v12020
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng, John Lafferty
stat.MLcs.LGarXiv:1506.06081v32015
Imitation Learning from Imperfect Demonstration
Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao +2
cs.LGcs.AIstat.MLarXiv:1901.09387v32019
Multi-Contrast Super-Resolution MRI Through a Progressive Network
Qing Lyu, Hongming Shan, Ge Wang
eess.IVcs.LGphysics.med-pharXiv:1908.01612v22019
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
Kefan Dong, Tengyu Ma
cs.LGcs.AIcs.LOarXiv:2502.00212v42025
QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization
Yipin Guo, Arun M George, Jie Fu +3
cs.LGcs.AIarXiv:2609.00224v22026
Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
Yoshua Bengio, Michael Cohen, Damiano Fornasiere +10
cs.AIcs.LGarXiv:2502.15657v22025
Neural Pruning via Growing Regularization
Huan Wang, Can Qin, Yulun Zhang +1
cs.CVcs.AIcs.LGarXiv:2012.09243v22020
ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting
Yu Liu, Baoxiong Jia, Ruijie Lu +3
cs.CVcs.GRcs.LGarXiv:2502.19459v22025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba +5
cond-mat.mtrl-scics.LGarXiv:2502.03638v32025
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li +8
cs.LGcs.AIcs.CLarXiv:2506.06632v32025
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Xingxuan Zhang, Gang Ren, Han Yu +35
cs.LGcs.AIcs.CLarXiv:2509.03505v22025
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Alexandra Souly, Javier Rando, Ed Chapman +10
cs.LGarXiv:2510.07192v12025
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Kuan Li, Zhongwang Zhang, Huifeng Yin +14
cs.LGcs.CLarXiv:2509.13305v12025
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp, Mitch Hill, Tian Han +2
stat.MLcs.CVcs.LGarXiv:1903.12370v42019
Graph Normalizing Flows
Jenny Liu, Aviral Kumar, Jimmy Ba +2
cs.LGstat.MLarXiv:1905.13177v12019
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Qingyan Meng, Mingqing Xiao, Shen Yan +3
cs.NEcs.LGarXiv:2205.00459v22022
Differentiable Learning-to-Normalize via Switchable Normalization
Ping Luo, Jiamin Ren, Zhanglin Peng +2
cs.CVcs.LGarXiv:1806.10779v52018
WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network Optimization
Fatih Temiz, Shavbo Salehi, Melike Erol-Kantarci
cs.NIcs.AIcs.LGarXiv:2609.00284v12026
DeepAgent: A General Reasoning Agent with Scalable Toolsets
Xiaoxi Li, Wenxiang Jiao, Jiarui Jin +8
cs.AIcs.CLcs.IRarXiv:2510.21618v32025
Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
Zhigeng Liu, Zhiyuan Ning, Ruixiao Li +5
cs.LGcs.AIarXiv:2609.00097v12026
Data-Dependent Stability of Stochastic Gradient Descent
Ilja Kuzborskij, Christoph H. Lampert
cs.LGarXiv:1703.01678v42017
Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4
cs.CLcs.LGcs.MMarXiv:2110.00413v12021
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Guodong Zhang, Lala Li, Zachary Nado +5
cs.LGstat.MLarXiv:1907.04164v22019
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang, Ping Wang, Jianhua Pei +3
cs.LGarXiv:2503.13195v12025
Specifying Object Attributes and Relations in Interactive Scene Generation
Oron Ashual, Lior Wolf
cs.CVcs.LGarXiv:1909.05379v22019
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
cs.AIcs.CYcs.LGarXiv:2506.12103v12025
The Illusion of State in State-Space Models
William Merrill, Jackson Petty, Ashish Sabharwal
cs.LGcs.CCcs.CLarXiv:2404.08819v32024
Learning with Feature-Dependent Label Noise: A Progressive Approach
Yikai Zhang, Songzhu Zheng, Pengxiang Wu +2
cs.LGcs.CVstat.AParXiv:2103.07756v32021
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Seungwoo Choi, Seokjun Seo, Beomjun Shin +5
cs.SDcs.LGcs.NEarXiv:1904.03814v22019
SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Yifei Zhou, Song Jiang, Yuandong Tian +4
cs.LGarXiv:2503.15478v12025

Machine Learning

Gossip Learning with Linear Models on Fully Distributed Data

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy

When Models Manipulate Manifolds: The Geometry of a Counting Task

Kernel-based Reconstruction of Graph Signals

When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models

Compressed Sensing with Deep Image Prior and Learned Regularization

Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition

Do Multilingual LLMs Think In English?

A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks

SMart: A Multi-source Multi-phase Time Series Representation Transfer Framework

Schrödinger Bridges on Lie Group Manifolds for Probabilistic Intrinsic Generation

Anonymous Walk Embeddings

A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule

Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training

RSL-RL: A Learning Library for Robotics Research

Visual Planning: Let's Think Only with Images

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

Variational Bayesian Unlearning

Tell me about yourself: LLMs are aware of their learned behaviors

Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors

Deep Learning for Time Series Forecasting: A Survey

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing

AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

Influence-Balanced Loss for Imbalanced Visual Classification

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Sparse Autoencoders Trained on the Same Data Learn Different Features

To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices

A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements

Imitation Learning from Imperfect Demonstration

Multi-Contrast Super-Resolution MRI Through a Progressive Network

STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving

QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Neural Pruning via Growing Regularization

ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

Graph Normalizing Flows

Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

Differentiable Learning-to-Normalize via Switchable Normalization

WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network Optimization

DeepAgent: A General Reasoning Agent with Scalable Toolsets

Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding

Data-Dependent Stability of Stochastic Gradient Descent

Detecting Harmful Memes and Their Targets

Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model

Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey

Specifying Object Attributes and Relations in Interactive Scene Generation

The Amazon Nova Family of Models: Technical Report and Model Card

The Illusion of State in State-Space Models

Learning with Feature-Dependent Label Noise: A Progressive Approach

Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks