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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25,021 to 25,080 of 33,148

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping, Liam Fowl, W. Ronny Huang +4
cs.CVcs.LGarXiv:2009.02276v22020
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu +1
cs.LGcs.DCarXiv:2106.06843v12021
SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
Scott Thornton
cs.CRcs.AIcs.CLarXiv:2512.18542v32025
Optimal Rates for Random Fourier Features
Bharath K. Sriperumbudur, Zoltan Szabo
math.STcs.LGmath.FAarXiv:1506.02155v22015
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott +4
cs.CLcs.AIcs.LGarXiv:1809.05053v12018
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Nate Gruver, Anuroop Sriram, Andrea Madotto +3
cs.LGcond-mat.mtrl-sciarXiv:2402.04379v22024
A Discriminative Entity-Aware Language Model for Virtual Assistants
Mandana Saebi, Ernest Pusateri, Aaksha Meghawat +1
cs.CLcs.LGarXiv:2106.11292v12021
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
Kuo-Chung Peng, Samuel Yen-Chi Chen, Jiun-Cheng Jiang +16
cs.LGcs.AIquant-pharXiv:2605.06734v22026
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
stat.MLcs.DCcs.LGarXiv:1511.06051v42015
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal +2
cs.CLcs.LGarXiv:1908.07125v32019
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin +7
stat.MLcs.LGcs.SDarXiv:2106.06406v22021
ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
Guangda Liu, Chengwei Li, Jieru Zhao +2
cs.LGcs.AIcs.PFarXiv:2412.03213v22024
Staleness-aware Async-SGD for Distributed Deep Learning
Wei Zhang, Suyog Gupta, Xiangru Lian +1
cs.LGarXiv:1511.05950v52015
Improving Recursive Transformers with Mixture of LoRAs
Mohammadmahdi Nouriborji, Morteza Rohanian, Omid Rohanian
cs.LGarXiv:2512.12880v22025
Why Does Post-Training Quantization Work?
Yuxiang Chen, Michael Beyer, Jun Zhu +1
cs.LGcs.CLarXiv:2609.11716v12026
Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhen Zhu, Mengde Xu, Song Bai +2
cs.CVcs.LGarXiv:1908.07678v52019
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
NVIDIA, :, Amala Sanjay Deshmukh +216
cs.LGcs.AIcs.CVarXiv:2604.24954v22026
Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies
Felix Brakel, Uraz Odyurt, Ana-Lucia Varbanescu
cs.DCcs.LGarXiv:2403.03699v12024
Efficiently Approximating Attention Is Hard
Lukas Haverbeck, Carmen Amo Alonso, Andres Felipe Posada-Moreno +2
cs.LGcs.CCarXiv:2609.37261v12026
Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics
Jingdi Lei, Di Zhang, Soujanya Poria
cs.LGarXiv:2512.12602v52025
Taylor Expansion of Discount Factors
Yunhao Tang, Mark Rowland, Rémi Munos +1
cs.LGstat.MLarXiv:2106.06170v22021
Continuous Learning in Single-Incremental-Task Scenarios
Davide Maltoni, Vincenzo Lomonaco
cs.LGcs.AIcs.CVarXiv:1806.08568v32018
Loss-Guided Pretraining Data Selection for Time-Series Foundation Models
Yike Li, Shaoxu Song, Jianmin Wang
cs.LGcs.AIarXiv:2609.37255v12026
Weakly Supervised Disentanglement with Guarantees
Rui Shu, Yining Chen, Abhishek Kumar +2
cs.LGstat.MLarXiv:1910.09772v22019
Silent Speech Interfaces for Speech Restoration: A Review
Jose A. Gonzalez-Lopez, Alejandro Gomez-Alanis, Juan M. Martín-Doñas +2
eess.AScs.HCcs.LGarXiv:2009.02110v32020
VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
Avinash Amballa, Yashas Malur Saidutta, Chi-Heng Lin +2
cs.CLcs.LGarXiv:2512.12072v22025
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization
Lukas Theißinger, Thore Gerlach, Christian Bauckhage
quant-phcs.LGarXiv:2610.10351v12026
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen, Kshitiz Malik, Hongyuan Zhan +4
cs.LGarXiv:2106.06639v42021
Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse Trajectories
Zhehao Huang, Changxin Tian, Qingyuan Yang +5
cs.LGcs.AIcs.CLarXiv:2609.37169v12026
OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification
Yuhang Zhou, Lizhu Zhang, Yifan Wu +5
cs.LGcs.CLarXiv:2606.01476v22026
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li, Dacheng Chen, Jonathan Goh +1
cs.LGstat.MLarXiv:1809.04758v32018
CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents
S M Asif Hossain, Ruksat Khan Shayoni, Md Kishor Morol
cs.LGarXiv:2609.02265v12026
Hierarchical Variational Models
Rajesh Ranganath, Dustin Tran, David M. Blei
stat.MLcs.LGstat.COarXiv:1511.02386v22015
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma, Jordan T. Ash, Dipendra Misra
cs.LGcs.AIcs.CLarXiv:2312.13558v12023
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen, Haocheng Ye, Zhian Ying +2
cs.LGarXiv:2501.10796v12025
Interactive and Explainable Region-guided Radiology Report Generation
Tim Tanida, Philip Müller, Georgios Kaissis +1
cs.CVcs.CLcs.LGarXiv:2304.08295v12023
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin +2
cs.MAcs.CLcs.LGarXiv:2405.20018v12024
Remix: Rebalanced Mixup
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan +2
cs.CVcs.LGarXiv:2007.03943v32020
Luna: Linear Unified Nested Attention
Xuezhe Ma, Xiang Kong, Sinong Wang +4
cs.LGcs.CLarXiv:2106.01540v22021
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li, Alexander Pan, Anjali Gopal +54
cs.LGcs.AIcs.CLarXiv:2403.03218v72024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe Wang, Oleksii Tsepa, Jun Ma +1
cs.LGcs.AIarXiv:2402.00789v12024
Understanding the impact of entropy on policy optimization
Zafarali Ahmed, Nicolas Le Roux, Mohammad Norouzi +1
cs.LGstat.MLarXiv:1811.11214v52018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov +2
cs.CLcs.LGarXiv:1804.07745v32018
Leaner Transformers Can Easily Learn to Cluster
Charlotte Park, Kenneth L. Clarkson, Lior Horesh +2
cs.LGstat.MLarXiv:2610.09760v12026
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Ziyu Jia, Youfang Lin, Jing Wang +3
cs.LGeess.SParXiv:2105.13864v12021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan +2
cs.LGarXiv:2103.00123v22021
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zonglin Li, Chong You, Srinadh Bhojanapalli +8
cs.LGcs.CLcs.CVarXiv:2210.06313v22022
Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking
Jiwan Chung, JiHyuk Byun, Vibhav Vineet +1
cs.AIcs.LGarXiv:2606.15673v22026
MusicRL: Aligning Music Generation to Human Preferences
Geoffrey Cideron, Sertan Girgin, Mauro Verzetti +11
cs.LGcs.SDeess.ASarXiv:2402.04229v12024
Bacteriophage classification for assembled contigs using Graph Convolutional Network
Jiayu Shang, Jingzhe Jiang, Yanni Sun
q-bio.GNcs.LGarXiv:2102.03746v22021
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang +6
cs.AIcs.CLcs.LGarXiv:2309.15817v22023
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu, Jiaxin Ding, Xin Liu
cs.LGmath.OCstat.MLarXiv:1910.09615v12019
Protecting Language Generation Models via Invisible Watermarking
Xuandong Zhao, Yu-Xiang Wang, Lei Li
cs.CRcs.CLcs.LGarXiv:2302.03162v32023
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
cs.AIcs.CLcs.LGarXiv:2308.00436v32023
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian, Tengyu Ma, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2106.06530v22021
Conditional Neural Optimal Transport for Predicting Cellular Phenotypes from Molecular Structure
Gauthier Avité, Maxime Sanchez-Renauld, Nicolas Bourriez +1
cs.CVcs.LGarXiv:2608.14293v12026
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
Yonatan Geifman, Guy Uziel, Ran El-Yaniv
cs.LGstat.MLarXiv:1805.08206v42018
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu +3
cs.LGstat.MLarXiv:2006.13847v12020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt, Yongwon Hong, Iuliia Pliushch +1
cs.LGstat.MLarXiv:2009.01797v32020

Machine Learning

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Federated Learning on Non-IID Data: A Survey

SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models

Optimal Rates for Random Fourier Features

XNLI: Evaluating Cross-lingual Sentence Representations

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

A Discriminative Entity-Aware Language Model for Virtual Assistants

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning

SparkNet: Training Deep Networks in Spark

Universal Adversarial Triggers for Attacking and Analyzing NLP

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression

Staleness-aware Async-SGD for Distributed Deep Learning

Improving Recursive Transformers with Mixture of LoRAs

Why Does Post-Training Quantization Work?

Asymmetric Non-local Neural Networks for Semantic Segmentation

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies

Efficiently Approximating Attention Is Hard

Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics

Taylor Expansion of Discount Factors

Continuous Learning in Single-Incremental-Task Scenarios

Loss-Guided Pretraining Data Selection for Time-Series Foundation Models

Weakly Supervised Disentanglement with Guarantees

Silent Speech Interfaces for Speech Restoration: A Review

VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs

Houdini: Fooling Deep Structured Prediction Models

Measurement-Efficient Differentiable Quantum Architecture Search for Combinatorial Optimization

Federated Learning with Buffered Asynchronous Aggregation

Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse Trajectories

OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

CAPTURE: Disentangling Preference Drift from Memory Poisoning in Personalized LLM Agents

Hierarchical Variational Models

The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Dynamic Trend Fusion Module for Traffic Flow Prediction

Interactive and Explainable Region-guided Radiology Report Generation

Safe Multi-agent Reinforcement Learning with Natural Language Constraints

Remix: Rebalanced Mixup

Luna: Linear Unified Nested Attention

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Understanding the impact of entropy on policy optimization

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Leaner Transformers Can Easily Learn to Cluster

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking

MusicRL: Aligning Music Generation to Human Preferences

Bacteriophage classification for assembled contigs using Graph Convolutional Network

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

IPO: Interior-point Policy Optimization under Constraints

Protecting Language Generation Models via Invisible Watermarking

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Label Noise SGD Provably Prefers Flat Global Minimizers

Conditional Neural Optimal Transport for Predicting Cellular Phenotypes from Molecular Structure

Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers

Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning