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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15,301 to 15,360 of 20,192

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
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
Pengyu Cheng, Weituo Hao, Shuyang Dai +3
cs.LGstat.MLarXiv:2006.12013v62020
Finite Scalar Quantization: VQ-VAE Made Simple
Fabian Mentzer, David Minnen, Eirikur Agustsson +1
cs.CVcs.LGarXiv:2309.15505v22023
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu +3
cs.LGstat.MLarXiv:2001.09382v22020
A Survey of Embodied AI: From Simulators to Research Tasks
Jiafei Duan, Samson Yu, Hui Li Tan +2
cs.AIcs.LGarXiv:2103.04918v82021
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan, Yen-Chun Chen, Linjie Li +3
cs.CVcs.CLcs.LGarXiv:2006.06195v22020
Interpreting Protein Language Model Embeddings via Orthogonal Projection for Protein Fitness Prediction
Paulo Yanez Sarmiento, Pia Francesca Rissom, Manuel Pfeuffer +6
cs.LGq-bio.QMarXiv:2608.25548v12026
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum, Katrina Ligett, Aaron Roth
cs.DScs.CRcs.LGarXiv:1109.2229v12011
EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves
Phil R. Van-Lane, Joshua S. Speagle, Ryan Cloutier +3
astro-ph.SRastro-ph.GAastro-ph.IMarXiv:2608.25019v12026
Virgil: Navigating Explainability for Transformer-based Language Models
Martino Ciaperoni, Sezer Kutluk, Benedetta Muscato +2
cs.CLcs.LGarXiv:2608.25555v12026
A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery
Hongwei Du, Dingyang Lv, Baole Wei +5
cond-mat.mtrl-scics.AIcs.LGarXiv:2608.25592v12026
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley +2
cs.DCcs.AIcs.LGarXiv:2104.07857v12021
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine, Chelsea Finn
cs.LGcs.CVarXiv:2110.09506v32021
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh +2
cs.LGcs.CLcs.CVarXiv:1806.06176v32018
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd, Roger Grosse +2
stat.MLcs.LGstat.MEarXiv:1302.4922v42013
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman +2
cs.AIcs.LGcs.LOarXiv:1711.11157v22017
Towards Stable Test-Time Adaptation in Dynamic Wild World
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang +4
cs.LGcs.CVarXiv:2302.12400v12023
SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models
Sokbae Lee, Yuan Liao, Myung Hwan Seo +1
stat.MEcs.LGecon.EMarXiv:2608.25304v12026
Deep neural network solution of the electronic Schrödinger equation
Jan Hermann, Zeno Schätzle, Frank Noé
physics.comp-phcs.LGphysics.chem-pharXiv:1909.08423v52019
SHSP: Structure-Aware Hierarchical Solution Prediction for Mixed-Integer Linear Programming
Zherong Zhang, Guanlin Li, Chengrui Gao +5
cs.LGcs.AIarXiv:2608.25282v12026
Prefix-Denoising Consistency: Test-Time Verification for Diffusion Language Models
Yuki Ichihara, Naoto Iwase, Mohammad Atif Quamar +1
cs.LGarXiv:2608.25311v12026
Asynchronous Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Wei Zhang, Ce Zhang +1
math.OCcs.LGstat.MLarXiv:1710.06952v32017
Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW
Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +2
cs.LGcs.DCcs.NIarXiv:2608.25535v12026
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin, Arash Vahdat, Jose Alvarez +3
cs.CVcs.LGarXiv:2112.07658v32021

Machine Learning

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

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Finite Scalar Quantization: VQ-VAE Made Simple

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

A Survey of Embodied AI: From Simulators to Research Tasks

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Interpreting Protein Language Model Embeddings via Orthogonal Projection for Protein Fitness Prediction

A Learning Theory Approach to Non-Interactive Database Privacy

EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves

Virgil: Navigating Explainability for Transformer-based Language Models

A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery

ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning

MEMO: Test Time Robustness via Adaptation and Augmentation

Learning Factorized Multimodal Representations

Structure Discovery in Nonparametric Regression through Compositional Kernel Search

A Semantic Loss Function for Deep Learning with Symbolic Knowledge

Towards Stable Test-Time Adaptation in Dynamic Wild World

SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models

Deep neural network solution of the electronic Schrödinger equation

SHSP: Structure-Aware Hierarchical Solution Prediction for Mixed-Integer Linear Programming

Prefix-Denoising Consistency: Test-Time Verification for Diffusion Language Models

Asynchronous Decentralized Parallel Stochastic Gradient Descent

Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

AdaViT: Adaptive Tokens for Efficient Vision Transformer