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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29,401 to 29,460 of 32,694

Infrastructure for Usable Machine Learning: The Stanford DAWN Project
Peter Bailis, Kunle Olukotun, Christopher Re +1
cs.LGcs.DBstat.MLarXiv:1705.07538v22017
Efficient Context-Limited Telescope Bibliography Classification for the WASP-2025 Shared Task Using SciBERT
Madhusudhana Naidu
cs.LGastro-ph.IMarXiv:2609.01647v12026
EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing
Tianyu Chen, Yasi Zhang, Zhi Zhang +13
cs.CVcs.AIcs.LGarXiv:2509.13399v32025
BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio
Sania Fatima Sayed, John W. Holloway, Reyer Zwiggelaar +1
cs.SDcs.LGeess.ASarXiv:2609.31165v12026
Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
Hasan Abed Al Kader Hammoud, Mohammad Zbeeb, Bernard Ghanem
cs.CLcs.AIcs.LGarXiv:2509.14008v12025
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
cs.CRcs.LGarXiv:1707.08945v52017
SPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous Recommendations
Tobias Vente, Maarten Peirsman, Noah Daniëls +2
cs.IRcs.AIcs.LGarXiv:2609.31164v12026
The Rogue Scalpel: Activation Steering Compromises LLM Safety
Anton Korznikov, Andrey Galichin, Alexey Dontsov +3
cs.LGcs.AIarXiv:2509.22067v22025
CACTUS: Chemistry Agent Connecting Tool-Usage to Science
Andrew D. McNaughton, Gautham Ramalaxmi, Agustin Kruel +3
cs.CLcs.AIcs.LGarXiv:2405.00972v12024
Uncertainty-Aware Federated Learning for Infant Movement Analysis
Edmond S. L. Ho
cs.LGcs.AIcs.CVarXiv:2609.31463v12026
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng +2
cs.LGarXiv:2309.11932v22023
Training Graph Foundation Models on The Web Graph
Ryoma Sato
cs.AIcs.LGarXiv:2609.30894v12026
Generative Retrieval with Few-shot Indexing
Arian Askari, Chuan Meng, Mohammad Aliannejadi +3
cs.IRcs.AIcs.CLarXiv:2408.02152v32024
RePO: Replay-Enhanced Policy Optimization
Siheng Li, Zhanhui Zhou, Wai Lam +2
cs.CLcs.AIcs.LGarXiv:2506.09340v12025
Neural Algorithmic Reasoning
Petar Veličković, Charles Blundell
cs.LGcs.AIcs.DSarXiv:2105.02761v12021
Predicting citation counts based on deep neural network learning techniques
Ali Abrishami, Sadegh Aliakbary
cs.DLcs.LGcs.SIarXiv:1809.04365v32018
The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution
Norbert Tihanyi, Bilel Cherif, Richard A. Dubniczky +2
cs.CRcs.LGarXiv:2510.10493v22025
Unsupervised pretraining transfers well across languages
Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré +1
eess.AScs.CLcs.LGarXiv:2002.02848v12020
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez +5
eess.SYcs.LGarXiv:2004.05519v12020
Detection != Reliable Control: Decodable Empathy Directions Yield at Most Partial Shifts in Automated Empathy Scores
Haoran Jisun
cs.CLcs.HCcs.LGarXiv:2608.24901v12026
On the global feature importance for interpretable and trustworthy heat demand forecasting
Milan Zdravković
cs.LGeess.SYarXiv:2608.13039v12026
Deep Multimodal Learning with Missing Modality: A Survey
Renjie Wu, Hu Wang, Hsiang-Ting Chen +1
cs.CVcs.AIcs.LGarXiv:2409.07825v42024
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Mark Sendak, Madeleine Elish, Michael Gao +6
cs.CYcs.AIcs.HCarXiv:1911.08089v22019
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
eess.IVcs.CVcs.LGarXiv:1904.13270v22019
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen +1
eess.IVcs.CVcs.LGarXiv:2006.09965v32020
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen, Zhouchen Lin, Qingming Huang
cs.CVcs.LGarXiv:1512.05830v22015
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
Benjamin Shickel, Patrick Tighe, Azra Bihorac +1
cs.LGstat.MLarXiv:1706.03446v22017
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli +6
cs.CLcs.AIcs.LGarXiv:1506.06714v12015
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou, Kailas Vodrahalli, Roberto A Novoa +16
eess.IVcs.AIcs.CVarXiv:2203.08807v12022
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Qiwei Chen, Huan Zhao, Wei Li +2
cs.IRcs.LGarXiv:1905.06874v12019
Understanding LoRA as Knowledge Memory: An Empirical Analysis
Seungju Back, Dongwoo Lee, Naun Kang +4
cs.LGarXiv:2603.01097v52026
Arcee Trinity Large Technical Report
Varun Singh, Lucas Krauss, Sami Jaghouar +23
cs.LGcs.CLarXiv:2602.17004v12026
Role-Play with Large Language Models
Murray Shanahan, Kyle McDonell, Laria Reynolds
cs.CLcs.AIcs.LGarXiv:2305.16367v12023
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
cs.LGcs.CLcs.CVarXiv:2109.00020v12021
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
Boyang Zhang, Yicong Tan, Yun Shen +4
cs.CRcs.LGarXiv:2407.20859v12024
Session-based Recommendation with Graph Neural Networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu +3
cs.IRcs.LGstat.MLarXiv:1811.00855v42018
Octo: An Open-Source Generalist Robot Policy
Octo Model Team, Dibya Ghosh, Homer Walke +16
cs.ROcs.LGarXiv:2405.12213v22024
Measuring Emotional Contagion in Social Media
Emilio Ferrara, Zeyao Yang
cs.SIcs.LGphysics.soc-pharXiv:1506.06021v12015
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
Han Liu, Vivian Lai, Chenhao Tan
cs.AIcs.CYcs.HCarXiv:2101.05303v42021
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew Hausknecht, Peter Stone
cs.LGarXiv:1507.06527v42015
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu +2
cs.LGarXiv:2402.02207v22024
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia +2
cs.LGcs.CRcs.CVarXiv:2002.05990v12020
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen, Paul Vicol, Jimmy Ba +2
cs.LGstat.MLarXiv:1803.04386v22018
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke, Richard Shen, Corina Gurau +8
cs.CVcs.AIcs.LGarXiv:1912.00177v22019
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +3
cs.LGarXiv:1609.03323v32016
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov, William Cohen
cs.CLcs.LGarXiv:1603.06270v22016
Measuring academic influence: Not all citations are equal
Xiaodan Zhu, Peter Turney, Daniel Lemire +1
cs.DLcs.CLcs.LGarXiv:1501.06587v12015
One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
Skanda Athreya, Yutong Wang
cs.LGstat.MLarXiv:2609.01311v12026
Adversarial Reprogramming of Neural Networks
Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein
cs.LGcs.CRcs.CVarXiv:1806.11146v22018
Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts
Lean Wang, Huazuo Gao, Chenggang Zhao +2
cs.LGcs.CLarXiv:2408.15664v12024
Unsupervised Learning by Predicting Noise
Piotr Bojanowski, Armand Joulin
stat.MLcs.CVcs.LGarXiv:1704.05310v12017
Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning
Alexandre Amaral, Fernando Moro, Ana Malheiro
cs.CRcs.LGarXiv:2608.22075v32026
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
Raja Sunkara, Tie Luo
cs.CVcs.LGarXiv:2208.03641v12022
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Rebecca L. Russell, Louis Kim, Lei H. Hamilton +5
cs.LGcs.AIcs.SEarXiv:1807.04320v22018
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Yan Zhang, Ruidan He, Zuozhu Liu +2
cs.CLcs.LGarXiv:2009.12061v22020
Relative representations enable zero-shot latent space communication
Luca Moschella, Valentino Maiorca, Marco Fumero +3
cs.LGcs.AIarXiv:2209.15430v22022
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner +2
cs.LGstat.MLarXiv:1706.08500v62017
Predicting online extremism, content adopters, and interaction reciprocity
Emilio Ferrara, Wen-Qiang Wang, Onur Varol +2
cs.SIcs.LGphysics.soc-pharXiv:1605.00659v12016
LSTM-based Deep Learning Models for Non-factoid Answer Selection
Ming Tan, Cicero dos Santos, Bing Xiang +1
cs.CLcs.LGarXiv:1511.04108v42015
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
cs.ROcs.LGarXiv:1811.03307v12018

Machine Learning

Infrastructure for Usable Machine Learning: The Stanford DAWN Project

Efficient Context-Limited Telescope Bibliography Classification for the WASP-2025 Shared Task Using SciBERT

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing

BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

Robust Physical-World Attacks on Deep Learning Models

SPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous Recommendations

The Rogue Scalpel: Activation Steering Compromises LLM Safety

CACTUS: Chemistry Agent Connecting Tool-Usage to Science

Uncertainty-Aware Federated Learning for Infant Movement Analysis

A Machine Learning-oriented Survey on Tiny Machine Learning

Training Graph Foundation Models on The Web Graph

Generative Retrieval with Few-shot Indexing

RePO: Replay-Enhanced Policy Optimization

Neural Algorithmic Reasoning

Predicting citation counts based on deep neural network learning techniques

The Hidden DNA of LLM-Generated JavaScript: Structural Patterns Enable High-Accuracy Authorship Attribution

Unsupervised pretraining transfers well across languages

NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems

Detection != Reliable Control: Decodable Empathy Directions Yield at Most Partial Shifts in Automated Empathy Scores

On the global feature importance for interpretable and trustworthy heat demand forecasting

Deep Multimodal Learning with Missing Modality: A Survey

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Country-wide high-resolution vegetation height mapping with Sentinel-2

High-Fidelity Generative Image Compression

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Understanding LoRA as Knowledge Memory: An Empirical Analysis

Arcee Trinity Large Technical Report

Role-Play with Large Language Models

Working Memory Connections for LSTM

Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification

Session-based Recommendation with Graph Neural Networks

Octo: An Open-Source Generalist Robot Policy

Measuring Emotional Contagion in Social Media

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making

Deep Recurrent Q-Learning for Partially Observable MDPs

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches

Urban Driving with Conditional Imitation Learning

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks

Multi-Task Cross-Lingual Sequence Tagging from Scratch

Measuring academic influence: Not all citations are equal

One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

Adversarial Reprogramming of Neural Networks

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Unsupervised Learning by Predicting Noise

Autonomous Cyber Defense: Real-Time Attack Detection and Mitigation in Software-Defined Networks Using Machine Learning

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

Automated Vulnerability Detection in Source Code Using Deep Representation Learning

An Unsupervised Sentence Embedding Method by Mutual Information Maximization

Relative representations enable zero-shot latent space communication

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Predicting online extremism, content adopters, and interaction reciprocity

LSTM-based Deep Learning Models for Non-factoid Answer Selection

Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge