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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2,221 to 2,280 of 19,948

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning
Parsa Rajabi, Mohammad Reza Abedi, Nader Mokari +2
eess.SPcs.AIcs.CRarXiv:2609.09511v12026
Variance-Reduced Methods for Machine Learning
Robert M. Gower, Mark Schmidt, Francis Bach +1
cs.LGmath.OCstat.MLarXiv:2010.00892v12020
Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation
Heinke Hihn
cs.LGcs.AIarXiv:2609.09433v12026
SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation
Mohammad Abu-Shaira, Weishi Shi
cs.LGcs.AIarXiv:2609.09432v12026
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart
cs.DScs.CCcs.ITarXiv:1711.07211v12017
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao +2
cs.LGcs.CVstat.MLarXiv:1809.05786v32018
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective
Tom Everitt, Marcus Hutter, Ramana Kumar +1
cs.AIcs.LGarXiv:1908.04734v52019
ProAgent: Building Proactive Cooperative Agents with Large Language Models
Ceyao Zhang, Kaijie Yang, Siyi Hu +12
cs.AIcs.LGcs.MAarXiv:2308.11339v32023
Visual Causal Feature Learning
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
stat.MLcs.AIcs.CVarXiv:1412.2309v22014
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley +3
cs.LGcs.CRcs.NEarXiv:1412.6181v22014
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
stat.MLcs.CRcs.LGarXiv:1706.03922v62017
From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
Hamed Jafarzadeh Asl, Yuanhao Yu, Vahid Partovi Nia
cs.LGcs.AIcs.CLarXiv:2609.09476v12026
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden, Rick Salay, Krzysztof Czarnecki +3
cs.LGstat.MLarXiv:1812.02765v12018
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani, Kathleen A. Creel, Ananya Kumar +2
cs.LGcs.AIcs.CLarXiv:2211.13972v12022
Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
Zeyuan Allen-Zhu, Yuanzhi Li
cs.CLcs.AIcs.LGarXiv:2404.05405v12024
OmniTact: A Multi-Directional High Resolution Touch Sensor
Akhil Padmanabha, Frederik Ebert, Stephen Tian +3
cs.ROcs.CVcs.LGarXiv:2003.06965v12020
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu, Nan Chen, Conghao Zhou +4
cs.LGcs.NIarXiv:2012.01991v12020
Bag-of-Words Representation for Biomedical Time Series Classification
Jin Wang, Ping Liu, Mary F. H. She +2
cs.LGcs.AIarXiv:1212.2262v12012
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +2
cs.LGcs.AIcs.CRarXiv:1606.08928v12016
Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample +2
cs.LGcs.CLstat.MLarXiv:1907.01470v12019
Self-supervised Moving Vehicle Tracking with Stereo Sound
Chuang Gan, Hang Zhao, Peihao Chen +2
cs.CVcs.LGcs.SDarXiv:1910.11760v12019
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem
Matthew J. Colbrook, Vegard Antun, Anders C. Hansen
cs.LGcs.CVcs.NEarXiv:2101.08286v22021
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Daniel Guo, Bernardo Avila Pires, Bilal Piot +4
cs.LGcs.AIarXiv:2004.14646v12020
Deep Q-learning from Demonstrations
Todd Hester, Matej Vecerik, Olivier Pietquin +11
cs.AIcs.LGarXiv:1704.03732v42017
Random Utility Theory for Social Choice
Hossein Azari Soufiani, David C. Parkes, Lirong Xia
cs.MAcs.LGstat.MLarXiv:1211.2476v12012
No Free Checker: A Survey of Verifiers for Robot Policies
Yang Wan, Xihang Yue, Zhirui Liu +7
cs.ROcs.AIcs.CVarXiv:2609.09250v12026
Ensemble Framework for Cardiovascular Disease Prediction
Achyut Tiwari, Aryan Chugh, Aman Sharma
cs.LGcs.AIarXiv:2306.09989v12023
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Eric Lehman, Sarthak Jain, Karl Pichotta +2
cs.CLcs.AIcs.LGarXiv:2104.07762v22021
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Stephan Zheng, Alexander Trott, Sunil Srinivasa +4
econ.GNcs.LGstat.MLarXiv:2004.13332v12020
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang, Hongge Chen, Zhao Song +3
stat.MLcs.CRcs.CVarXiv:1901.04684v12019
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
Jingkun Gao, Xiaomin Song, Qingsong Wen +3
cs.LGeess.SPstat.AParXiv:2002.09545v22020
Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network Flow
Sindura Saraswathi, Christian Kümmerle
math.OCcs.AIcs.LGarXiv:2609.09295v12026
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
DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity
Jiaqi Ye, Xinrui Gong, Jingcun Wang +3
cs.LGcs.AIcs.ARarXiv:2609.09254v12026
Neural Random-Access Machines
Karol Kurach, Marcin Andrychowicz, Ilya Sutskever
cs.LGcs.NEarXiv:1511.06392v32015
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Luke Vilnis, Xiang Li, Shikhar Murty +1
stat.MLcs.LGarXiv:1805.06627v12018
What Fixed-Rollout pass@k Evaluations Can Identify
Pranav Singh, Prashant Singh
stat.MLcs.AIcs.LGarXiv:2609.09245v12026
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Robert Peharz, Steven Lang, Antonio Vergari +6
cs.LGstat.MLarXiv:2004.06231v22020
DiffPD: Differentiable Projective Dynamics
Tao Du, Kui Wu, Pingchuan Ma +4
cs.LGcs.GRarXiv:2101.05917v32021
Critical initialization destabilizes higher input derivatives in wide scalar-input networks
Prashant Singh, Pranav Singh
stat.MLcs.AIcs.LGarXiv:2609.09244v12026
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik +2
cs.CVcs.GRcs.LGarXiv:2212.07555v32022
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
David John Gagne, Hannah M. Christensen, Aneesh C. Subramanian +1
physics.ao-phcs.LGnlin.CDarXiv:1909.04711v12019
Concrete Score Matching: Generalized Score Matching for Discrete Data
Chenlin Meng, Kristy Choi, Jiaming Song +1
cs.LGcs.AIarXiv:2211.00802v22022
Jailbreaking Attack against Multimodal Large Language Model
Zhenxing Niu, Haodong Ren, Xinbo Gao +2
cs.LGcs.CLcs.CRarXiv:2402.02309v12024
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph
Mengying Sun, Jing Xing, Huijun Wang +2
physics.bio-phcs.LGarXiv:2106.04509v22021
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees
Guiliang Liu, Oliver Schulte, Wang Zhu +1
cs.LGstat.MLarXiv:1807.05887v12018
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai +1
cs.LGcs.CVarXiv:2201.00308v32022
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes, YuXuan Liu, Abhishek Gupta +3
cs.LGcs.AIstat.MLarXiv:1806.02813v12018
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina +1
eess.SPcs.LGcs.NEarXiv:2107.09507v42021
Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
Dohyeon Kim, Bedionita Soro, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2609.09241v12026
Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions
Ioannis Panageas, Georgios Piliouras
math.DScs.LGarXiv:1605.00405v22016
Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.LGcs.AIarXiv:2609.09240v12026
Adversarial Examples that Fool Detectors
Jiajun Lu, Hussein Sibai, Evan Fabry
cs.CVcs.AIcs.GRarXiv:1712.02494v12017
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen, Paraschos Koutris, Arun Kumar
cs.DBcs.GTcs.LGarXiv:1805.11450v12018
How Important Is a Neuron?
Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan
cs.LGstat.MLarXiv:1805.12233v12018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
cs.LGcs.AIarXiv:1807.08364v32018
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein +1
stat.MLcs.LGarXiv:2006.10540v12020
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling
Michael B. Cohen, Cameron Musco, Christopher Musco
cs.DScs.LGarXiv:1511.07263v22015
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu, Yingtong Dou, Yue Zhao +12
cs.LGcs.SIarXiv:2206.10071v22022
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
Aashaka Shah, Vijay Chidambaram, Meghan Cowan +6
cs.DCcs.LGarXiv:2111.04867v42021

Machine Learning

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning

Variance-Reduced Methods for Machine Learning

Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation

SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation

List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Visual Causal Feature Learning

Crypto-Nets: Neural Networks over Encrypted Data

Analyzing the Robustness of Nearest Neighbors to Adversarial Examples

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws

OmniTact: A Multi-Directional High Resolution Touch Sensor

Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning

Bag-of-Words Representation for Biomedical Time Series Classification

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs

Augmenting Self-attention with Persistent Memory

Self-supervised Moving Vehicle Tracking with Stereo Sound

Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem

Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning

Deep Q-learning from Demonstrations

Random Utility Theory for Social Choice

No Free Checker: A Survey of Verifiers for Robot Policies

Ensemble Framework for Cardiovascular Disease Prediction

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

The Limitations of Adversarial Training and the Blind-Spot Attack

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network Flow

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

DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity

Neural Random-Access Machines

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures

What Fixed-Rollout pass@k Evaluations Can Identify

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

DiffPD: Differentiable Projective Dynamics

Critical initialization destabilizes higher input derivatives in wide scalar-input networks

IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

Concrete Score Matching: Generalized Score Matching for Discrete Data

Jailbreaking Attack against Multimodal Large Language Model

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts

Gradient Descent Only Converges to Minimizers: Non-Isolated Critical Points and Invariant Regions

Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution

Adversarial Examples that Fool Detectors

Model-based Pricing for Machine Learning in a Data Marketplace

How Important Is a Neuron?

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning

Infinite attention: NNGP and NTK for deep attention networks

Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches