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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15,061 to 15,120 of 19,974

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
Francesco Mantegna, Dulhan Jayalath, Gereon Elvers +12
cs.LGcs.CLarXiv:2608.25204v12026
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein, Xavier Bresson
cs.LGcs.IRmath.NAarXiv:1704.06803v12017
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
Zuobin Xiong, Deval Mukherjee, Homook Cho +1
cs.LGcs.CRarXiv:2608.25133v12026
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
cs.LGcs.AIarXiv:2608.24386v12026
SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Hao Wu, Kin Whye Chew, Yizhan Han +2
cs.DCcs.LGarXiv:2608.24516v12026
Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo +4
quant-phcs.LGstat.MLarXiv:1707.08561v32017
Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
cs.ETcs.LGarXiv:2608.25193v12026
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo +10
cs.LGcs.CLstat.MLarXiv:1803.07416v12018
Transforms for LLM Quantization: The Great Inversion and Format Co-Design
Ehsan Jokar
cs.LGcs.ITarXiv:2608.25188v12026
Simultaneous inference of environmental and interaction forces in collective dynamics
Nipuni de Silva, Ming Zhong, James M. Greene
cs.LGmath.DSarXiv:2608.25181v12026
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou +1
cs.LGcs.SIstat.MLarXiv:2006.09252v32020
Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures
Molka Chkir, Syed Muhammad Danish, Jos Höll +1
cs.LGcs.AIarXiv:2608.25096v12026
AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions
Manmeet Singh, Somnath Luitel, Prabhjot Singh +3
cs.LGphysics.ao-pharXiv:2608.24954v12026
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant, Chelsea Finn, Sergey Levine +2
cs.LGarXiv:1801.08930v12018
Clearing the Underbrush: AI-Enhanced RF Interference Suppression
Rahul Jain, Pierre Trepagnier, Rick Gentile +2
cs.LGcs.AIeess.SParXiv:2608.24974v12026
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei, Nan Xu, Huichu Zhang +7
cs.MAcs.GTcs.LGarXiv:1905.05717v22019
MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity
Victor Solomon, Zening Fu, Rafal Angryk +2
cs.LGarXiv:2608.24978v12026
Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment
Yan Gao, Mohammad Naseri, Javier Fernandez-Marques +19
cs.LGcs.AIarXiv:2608.25114v12026
CRAMER: Control via Request-Aware Masking for Editing Recommenders
Zhiyuan Julian Su, Naihe Feng, Zhen Luther Qin +1
cs.IRcs.AIcs.LGarXiv:2608.25370v12026
Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration
Aoi Otake, Ferdinand Hartmann, Ko Igari +1
cs.ROcs.AIcs.LGarXiv:2608.25284v12026
DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi +1
cs.LGcs.AIarXiv:2608.25073v12026
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Shengyi Huang, Santiago Ontañón
cs.LGcs.AIstat.MLarXiv:2006.14171v32020
ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion
Liliana Borcea, Alexander Mamonov, Kui Ren +2
math.NAcs.LGphysics.geo-pharXiv:2608.25160v12026
Representing MAX functions using two-hidden-layer ReLU networks
Zhimao Wang, Amitabh Basu
cs.LGmath.OCstat.MLarXiv:2608.25221v12026
Fairness in Machine Learning
Luca Oneto, Silvia Chiappa
cs.LGcs.CYstat.MLarXiv:2012.15816v12020
Convolutional Networks with Dense Connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss +2
cs.LGcs.CVstat.MLarXiv:2001.02394v12020
A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction
Quan Yu, Jie Ni, Yu-Hong Dai +1
math.OCcs.LGarXiv:2608.25498v12026
Unifying distillation and privileged information
David Lopez-Paz, Léon Bottou, Bernhard Schölkopf +1
stat.MLcs.LGarXiv:1511.03643v32015
M-Fibration Theory with Applications to Neural Network Compression
Paolo Boldi
cs.LGarXiv:2608.25598v12026
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion
cs.CRcs.AIcs.LGarXiv:2404.02151v42024
Refusal geometry reflects refusal training: diverse refusal prefixes can raise stable rank and weaken refusal vector ablation attacks
Andrey Labunets
cs.LGcs.AIcs.CRarXiv:2608.25390v12026
Censoring Representations with an Adversary
Harrison Edwards, Amos Storkey
cs.LGcs.AIstat.MLarXiv:1511.05897v32015
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong, Xianglong Liu, Shenghu Jiang +5
cs.CVcs.LGeess.IVarXiv:1908.05033v12019
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma, Liqin Zhao, Guan Huang +4
stat.MLcs.IRcs.LGarXiv:1804.07931v22018
SNAP-KG: Streaming Node Assignment via Projection for Knowledge Graph Entity Integration
Jui-Chien Lin, Mohammad Mohammadi Amiri, Oshani Seneviratne
cs.LGarXiv:2608.25149v12026
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang, Yaxuan Li, Shen Zhang +4
cs.HCcs.LGeess.SParXiv:2111.00418v52021
Machine Learning with Membership Privacy using Adversarial Regularization
Milad Nasr, Reza Shokri, Amir Houmansadr
stat.MLcs.CRcs.LGarXiv:1807.05852v12018
Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach
Serhii Mytsyk, Yiming Zhang, Vikram Krishnamurthy
cs.LGeess.SYarXiv:2608.25267v12026
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma, Yuhao Niu, Lin Gu +4
cs.CVcs.LGeess.IVarXiv:1907.10456v22019
Data-driven Effective Modeling of Stochastic Chemical Reaction Networks
Yuan Chen, Weize Mao, Dongbin Xiu
math.NAcs.LGmath.DSarXiv:2608.25421v12026
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan, Haiyang Yu, Jie Wang +2
cs.LGcs.AIarXiv:2102.05152v22021
WAVE: Reversing the Guidance Hierarchy for Coarse-to-Fine Guided Depth Super-Resolution
Tayyab Nasir, Daochang Liu, Ajmal Mian
cs.CVcs.LGarXiv:2608.25302v12026
LDAC-Net: A Learnable Multi-Lag Differencing Attention-Convolution Network for Drift-Robust Recognition with Low-Cost MOX Gas Sensors
Xin Zhang, Liangxiu Han, Yue Shi +1
cs.LGcs.AIarXiv:2608.25646v12026
AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communication
Ziyuan Wang, Yifan Sui, Wei Wei +5
cs.NIcs.LGarXiv:2608.25477v12026
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott, Shobha Venkataraman, Awni Hannun +3
cs.LGcs.CRarXiv:2109.00984v22021
When Does Context Routing Help? A Systematic Study of Multi-Modal Fusion in Time Series Forecasting
Ruizhe Zhou, Gaoyuan Du, Xiaoyang Liu +4
cs.LGcs.AIstat.AParXiv:2608.25128v12026
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Rui Fan, Mohammud Junaid Bocus, Yilong Zhu +5
cs.CVcs.LGeess.IVarXiv:1904.08582v12019
Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.CVcs.LGarXiv:1807.07769v22018
Beyond Scaling: Self-Evolving LLM Agents for Hardware Kernel Optimization via an Experience-Driven Workflow and Experience Graph Memory
Siyuan Chen, Runlin Hou, Shenxiu Wu +7
cs.LGcs.MAarXiv:2608.25570v12026
Joint Initialization of Flux Networks and Effective Multiplication Factor for Physics-Informed Neural Networks Solving Neutron Diffusion Problems
Qin Hang, Yangdi Yi, Jiayi Li +2
cs.LGarXiv:2608.25443v12026
InsightSR: Refining Symbolic Regression Search Spaces via Parallel Semantic and Structural LLM Guidance
Yating Ling, Wenjing Cun, Zhitang Chen
cs.LGcs.AIarXiv:2608.25291v12026
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang, Aidan M. Swope, Alex Gu +6
cs.LGcs.AIcs.LOarXiv:2306.15626v22023
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky, Francesco Orabona
cs.LGmath.OCstat.MLarXiv:1905.10018v32019
A Storage-Retrieval Gap in Parametric Knowledge Graph Memory
Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov +1
cs.LGcs.CLcs.IRarXiv:2608.25489v12026
Beyond Optimal Rates in Stochastic Optimization: Trajectory-Adaptive Stopping Rules
Liviu Aolaritei, Lucas Lévy, Francis Bach +1
cs.LGmath.OCmath.STarXiv:2608.25551v12026
The Convergence of Sparsified Gradient Methods
Dan Alistarh, Torsten Hoefler, Mikael Johansson +3
cs.LGcs.DCstat.MLarXiv:1809.10505v12018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts, Jesse Engel, Colin Raffel +2
cs.LGcs.SDeess.ASarXiv:1803.05428v52018
From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection
Zhibo Hou, Fan Zhao, Zhiyu An +1
cs.CLcs.LGarXiv:2608.25243v12026
Deep Reinforcement Learning for Cyber Security
Thanh Thi Nguyen, Vijay Janapa Reddi
cs.CRcs.AIcs.LGarXiv:1906.05799v42019
PaSta: Noisy Node Classification with Partial Label Learning
Yujing Liu, Yixin Liu, Yu Zheng +3
cs.LGarXiv:2608.25365v12026

Machine Learning

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning

Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning

SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning

Quantum machine learning: a classical perspective

Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning

Tensor2Tensor for Neural Machine Translation

Transforms for LLM Quantization: The Great Inversion and Format Co-Design

Simultaneous inference of environmental and interaction forces in collective dynamics

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures

AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Clearing the Underbrush: AI-Enhanced RF Interference Suppression

CoLight: Learning Network-level Cooperation for Traffic Signal Control

MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity

Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment

CRAMER: Control via Request-Aware Masking for Editing Recommenders

Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration

DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

ROMNet: a hybrid reduced order modeling and machine learning approach to waveform inversion

Representing MAX functions using two-hidden-layer ReLU networks

Fairness in Machine Learning

Convolutional Networks with Dense Connectivity

A Multi-View Coupled Tensor Decomposition for Lightweight Online Adaptive Traffic Prediction

Unifying distillation and privileged information

M-Fibration Theory with Applications to Neural Network Compression

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Refusal geometry reflects refusal training: diverse refusal prefixes can raise stable rank and weaken refusal vector ablation attacks

Censoring Representations with an Adversary

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

SNAP-KG: Streaming Node Assignment via Projection for Knowledge Graph Entity Integration

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Machine Learning with Membership Privacy using Adversarial Regularization

Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach

Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

Data-driven Effective Modeling of Stochastic Chemical Reaction Networks

On Explainability of Graph Neural Networks via Subgraph Explorations

WAVE: Reversing the Guidance Hierarchy for Coarse-to-Fine Guided Depth Super-Resolution

LDAC-Net: A Learnable Multi-Lag Differencing Attention-Convolution Network for Drift-Robust Recognition with Low-Cost MOX Gas Sensors

AERIS: Offline Policy Improvement for Multi-UAV Integrated Sensing and Communication

CrypTen: Secure Multi-Party Computation Meets Machine Learning

When Does Context Routing Help? A Systematic Study of Multi-Modal Fusion in Time Series Forecasting

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

Physical Adversarial Examples for Object Detectors

Beyond Scaling: Self-Evolving LLM Agents for Hardware Kernel Optimization via an Experience-Driven Workflow and Experience Graph Memory

Joint Initialization of Flux Networks and Effective Multiplication Factor for Physics-Informed Neural Networks Solving Neutron Diffusion Problems

InsightSR: Refining Symbolic Regression Search Spaces via Parallel Semantic and Structural LLM Guidance

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Momentum-Based Variance Reduction in Non-Convex SGD

A Storage-Retrieval Gap in Parametric Knowledge Graph Memory

Beyond Optimal Rates in Stochastic Optimization: Trajectory-Adaptive Stopping Rules

The Convergence of Sparsified Gradient Methods

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

From Memorization to Absorption: Mixed-Policy RL for Continual Knowledge Injection

Deep Reinforcement Learning for Cyber Security

PaSta: Noisy Node Classification with Partial Label Learning