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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26,941 to 27,000 of 33,131

Fast Policy Learning through Imitation and Reinforcement
Ching-An Cheng, Xinyan Yan, Nolan Wagener +1
cs.LGstat.MLarXiv:1805.10413v12018
Summaries:한국어
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning
Huy Phan, Oliver Y. Chén, Philipp Koch +4
cs.LGeess.SPstat.MLarXiv:1907.13177v32019
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications
Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu +1
cs.LGcs.ITeess.SParXiv:1911.06257v22019
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah, Paras Sheth, Mansooreh Karami +5
cs.LGstat.MLarXiv:2102.05829v12021
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
cs.LGstat.MLarXiv:1905.10990v12019
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Zhen Guo, Adriana Meza Soria, Wei Sun +2
cs.CLcs.AIcs.LGarXiv:2402.09615v62024
Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration
Yuning Wang, Iman Azimi, Amir M. Rahmani +1
cs.LGarXiv:2609.11995v12026
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou, Yuan Cao, Dongruo Zhou +1
cs.LGcs.AImath.OCarXiv:1811.08888v32018
Generalization of Transformer-Based Neural Quantum States via In-Context Learning
Zhen Qin, Qing Qu, Alfred O. Hero III
quant-phcs.LGarXiv:2610.03463v12026
On the Convergence of Adam and Beyond
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
cs.LGmath.OCstat.MLarXiv:1904.09237v12019
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
cs.LGcs.AIstat.MLarXiv:1810.00337v52018
A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
Ming Chen, Rong-Xi Tan, Ke Xue +8
cs.LGcs.AIcs.NEarXiv:2610.12183v12026
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Zanlin Ni, Shenzhi Wang, Yang Yue +8
cs.CLcs.AIcs.LGarXiv:2601.15165v42026
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi +1
cs.LGmath.OCstat.MLarXiv:1805.05751v32018
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
Zicheng Lin, Tian Liang, Jiahao Xu +7
cs.CLcs.AIcs.LGarXiv:2411.19943v32024
GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting
Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad Khanjani
cs.LGphysics.ao-pharXiv:2609.00544v12026
OptiSelect: How does the Optimizer Shape Data Curriculum?
Simin Fan, Alireza Abdollahpoorrostam, Martin Jaggi
cs.LGcs.AIarXiv:2610.03432v12026
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Xiangming Gu, Xiaosen Zheng, Tianyu Pang +5
cs.CLcs.CRcs.CVarXiv:2402.08567v22024
When Does LeJEPA Learn a World Model?
David Klindt, Yann LeCun, Randall Balestriero
stat.MLcs.LGarXiv:2605.26379v12026
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
Yi Han, Shanika Karunasekera, Christopher Leckie
cs.SIcs.LGarXiv:2007.03316v22020
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg +1
cs.LGcs.AIcs.HCarXiv:1905.10958v22019
CSI: A Hybrid Deep Model for Fake News Detection
Natali Ruchansky, Sungyong Seo, Yan Liu
cs.LGcs.SIarXiv:1703.06959v42017
Exact Quantile Balancing and Load-Error Injection for Mixture-of-Experts
Pit Neitemeier, Jiaze Li, Alessio Serra +2
cs.LGcs.CLarXiv:2609.28053v12026
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi, Kaushik Roy
cs.NEcs.LGstat.MLarXiv:2008.03658v32020
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang, Richard Liaw, Philipp Moritz +6
cs.AIcs.DCcs.LGarXiv:1712.09381v42017
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta +2
cs.LGcs.AIcs.MAarXiv:2411.13934v12024
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li, Jinpei Guo, Runzhong Wang +2
cs.LGarXiv:2502.02941v12025
The Last Human-Written Paper: Agent-Native Research Artifacts
Jiachen Liu, Jiaxin Pei, Jintao Huang +34
cs.LGarXiv:2604.24658v32026
Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows
Jorge García-Carrasco, Javier Sanchis, Alejandro Reina-Reina +2
cs.SEcs.AIcs.DBarXiv:2610.11482v12026
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng, Georg Nührenberg, Harald Ruess
cs.LGcs.AIcs.LOarXiv:1705.01040v22017
Correlation Clustering with Random Partial Information
Rajath Rao K. N., Jens Schlöter, Sami Davies +2
cs.DScs.LGarXiv:2608.16315v12026
QuantumBoostNet: A Hybrid Classical-Quantum Architecture for Enhanced Accuracy in Cardiac Ultrasound View Identification
Mihai Udrescu-Milosav, Stefan-Alexandru Jura, Mihai Udrescu +1
cs.LGarXiv:2608.27302v12026
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
math.OCcs.LGstat.MLarXiv:2006.05988v32020
Vidar: Embodied Video Diffusion Model for Generalist Manipulation
Yao Feng, Hengkai Tan, Xinyi Mao +5
cs.LGcs.AIcs.CVarXiv:2507.12898v42025
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
cs.LGcs.AIstat.MLarXiv:1809.05922v22018
Training DNNs with Hybrid Block Floating Point
Mario Drumond, Tao Lin, Martin Jaggi +1
cs.LGcs.NAmath.NAarXiv:1804.01526v42018
AIBL: Augmented Instance-Based Learning with Structured Memory and Neural Embeddings
Radha Poovendran, Andrea Stocco, Linda Bushnell
cs.LGarXiv:2610.03413v12026
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving
Yuhan Liu, Yuyang Huang, Jiayi Yao +9
cs.MAcs.AIcs.CLarXiv:2411.02820v42024
Sparse Principal Component Analysis via Variable Projection
N. Benjamin Erichson, Peng Zheng, Krithika Manohar +3
stat.MLcs.LGarXiv:1804.00341v32018
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Alex Cloud, Minh Le, James Chua +5
cs.LGcs.AIarXiv:2507.14805v12025
16-bit Precision of Convolutional Neural Networks on Microcontroller Units for 8-bit Costs
Rui Liu, Benjamin Paaßen
cs.LGarXiv:2610.03402v12026
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi, Jingru Fei, Qi Zhang +4
cs.LGcs.AIeess.SParXiv:2411.01623v22024
SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards
Hunar Batra, Haoqin Tu, Hardy Chen +3
cs.CVcs.AIcs.CLarXiv:2511.07403v22025
DefaultGNN: A Dual-Perspective GNN Framework for Predicting Corporate Default from Buyer-Seller Transaction Networks
Junghoon Kim, Hyunsung Kim, Seungyoon Choi +4
cs.LGcs.AIarXiv:2609.25542v12026
Stable Neural Flows
Stefano Massaroli, Michael Poli, Michelangelo Bin +3
cs.LGmath.OCstat.MLarXiv:2003.08063v12020
Building Program Vector Representations for Deep Learning
Lili Mou, Ge Li, Yuxuan Liu +4
cs.SEcs.LGcs.NEarXiv:1409.3358v12014
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna +3
cs.CVcs.AIcs.CLarXiv:2402.07865v22024
From Patching to Pruning Visual Computation in Vision Language Models
Rahul Chowdhury, Timothy A Rupprecht, Xuan Shen +3
cs.CVcs.LGarXiv:2610.03389v12026
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.03543v12020
Black Box Variational Inference
Rajesh Ranganath, Sean Gerrish, David M. Blei
stat.MLcs.LGstat.COarXiv:1401.0118v12013
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, Stephen Tyree +2
cs.LGarXiv:1611.06256v32016
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
cs.CLcs.LGstat.MLarXiv:2105.11447v12021
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis +3
cs.LGarXiv:2102.06073v12021
A Tale of Tails: Model Collapse as a Change of Scaling Laws
Elvis Dohmatob, Yunzhen Feng, Pu Yang +2
cs.LGcs.AIcs.CLarXiv:2402.07043v22024
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen, Yankai Lin, Wei Li +3
cs.LGcs.SIstat.MLarXiv:1909.03211v22019
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li +4
cs.CLcs.AIcs.LGarXiv:2406.13542v32024
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Haozhan Li, Yuxin Zuo, Jiale Yu +18
cs.ROcs.AIcs.CLarXiv:2509.09674v12025
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto +8
eess.AScs.LGcs.SDarXiv:2006.05822v22020
Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT
Joery Ariën de Vries, Neil David Lawrence, Zhenwen Dai
cs.LGcs.AIarXiv:2610.03361v12026
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty, Manaar Alam, Vishal Dey +2
cs.LGcs.CRstat.MLarXiv:1810.00069v12018

Machine Learning

Fast Policy Learning through Imitation and Reinforcement

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications

Causal Inference for Time series Analysis: Problems, Methods and Evaluation

Edge Contraction Pooling for Graph Neural Networks

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation

Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks

Generalization of Transformer-Based Neural Quantum States via In-Context Learning

On the Convergence of Adam and Beyond

Learning to Perform Local Rewriting for Combinatorial Optimization

A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

Local Saddle Point Optimization: A Curvature Exploitation Approach

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

OptiSelect: How does the Optimizer Shape Data Curriculum?

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

When Does LeJEPA Learn a World Model?

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media

Explainable Reinforcement Learning Through a Causal Lens

CSI: A Hybrid Deep Model for Fake News Detection

Exact Quantile Balancing and Load-Error Injection for Mixture-of-Experts

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

RLlib: Abstractions for Distributed Reinforcement Learning

Learning to Cooperate with Humans using Generative Agents

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

The Last Human-Written Paper: Agent-Native Research Artifacts

Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows

Maximum Resilience of Artificial Neural Networks

Correlation Clustering with Random Partial Information

QuantumBoostNet: A Hybrid Classical-Quantum Architecture for Enhanced Accuracy in Cardiac Ultrasound View Identification

Random Reshuffling: Simple Analysis with Vast Improvements

Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Memory Efficient Experience Replay for Streaming Learning

Training DNNs with Hybrid Block Floating Point

AIBL: Augmented Instance-Based Learning with Structured Memory and Neural Embeddings

DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving

Sparse Principal Component Analysis via Variable Projection

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

16-bit Precision of Convolutional Neural Networks on Microcontroller Units for 8-bit Costs

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards

DefaultGNN: A Dual-Perspective GNN Framework for Predicting Corporate Default from Buyer-Seller Transaction Networks

Stable Neural Flows

Building Program Vector Representations for Deep Learning

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

From Patching to Pruning Visual Computation in Vision Language Models

A Novel Community Detection Based Genetic Algorithm for Feature Selection

Black Box Variational Inference

Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU

True Few-Shot Learning with Language Models

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data

A Tale of Tails: Model Collapse as a Change of Scaling Laws

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring

Follow the Winners: Conservative Policy Improvement with the Cross-Entropy Method for Critic-Free RFT

Adversarial Attacks and Defences: A Survey