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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5,401 to 5,460 of 20,133

Workload Identification with Physical Side Channels for AI Governance
Simone Gargiulo, Gabriel Kulp
cs.CRcs.AIcs.CYarXiv:2609.00309v12026
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
Peng Xia, Kaide Zeng, Jiaqi Liu +5
cs.LGarXiv:2511.16043v12025
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu, Qi Yan, Lele Wang +2
cs.CVcs.AIcs.LGarXiv:2503.09950v12025
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde +2
cs.HCcs.AIcs.CYarXiv:2601.17087v22026
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Se June Joo, Doyoung Kim +4
cs.CLcs.AIcs.LGarXiv:2305.14045v22023
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava, Ruslan R Salakhutdinov, Geoffrey E. Hinton
cs.LGcs.IRstat.MLarXiv:1309.6865v12013
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat, Raphaël Puget, David Filliat +3
cs.LGcs.AIarXiv:2104.00950v12021
Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy
Shmuel Berman, Jia Deng
cs.LGcs.AIarXiv:2609.00103v12026
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Han Li, Yuling Shi, Shaoxin Lin +6
cs.SEcs.CLcs.LGarXiv:2507.23348v12025
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
Juntao Ren, Priya Sundaresan, Dorsa Sadigh +2
cs.ROcs.AIcs.LGarXiv:2501.06994v22025
Do Language Models Use Their Depth Efficiently?
Róbert Csordás, Christopher D. Manning, Christopher Potts
cs.LGcs.AIcs.NEarXiv:2505.13898v32025
Dataset Distillation via Factorization
Songhua Liu, Kai Wang, Xingyi Yang +2
cs.CVcs.LGarXiv:2210.16774v12022
The Disparate Effects of Strategic Manipulation
Lily Hu, Nicole Immorlica, Jennifer Wortman Vaughan
cs.LGcs.GTstat.MLarXiv:1808.08646v42018
Topology of deep neural networks
Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim
cs.LGmath.ATstat.MLarXiv:2004.06093v12020
Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon, Divyam Madaan, Eunho Yang +1
cs.LGcs.CVarXiv:2106.01085v42021
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
cs.LGcs.CLarXiv:2505.16984v22025
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan +4
cs.LGcs.AIarXiv:1608.06154v12016
Deep Nearest Neighbor Anomaly Detection
Liron Bergman, Niv Cohen, Yedid Hoshen
cs.LGcs.CVstat.MLarXiv:2002.10445v12020
Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
Kacper Sokol, James Fackler, Julia E Vogt
cs.HCcs.AIcs.CYarXiv:2506.05030v12025
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu, Diana Inkpen, Ahmed El-Roby
cs.LGcs.CVstat.MLarXiv:2007.03141v22020
Explaining in Style: Training a GAN to explain a classifier in StyleSpace
Oran Lang, Yossi Gandelsman, Michal Yarom +8
cs.CVcs.LGcs.NEarXiv:2104.13369v22021
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
Qizhou Wang, Jin Peng Zhou, Zhanke Zhou +3
cs.LGarXiv:2502.19301v12025
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia +3
cs.CVcs.LGarXiv:2205.14459v22022
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Corby Rosset, Ching-An Cheng, Arindam Mitra +3
cs.LGcs.AIcs.CLarXiv:2404.03715v12024
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
Jaewoo Lee, Daniel Kifer
cs.LGstat.MLarXiv:1808.09501v12018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol, Vicki Pfau, Christopher Hesse +2
cs.LGstat.MLarXiv:1804.03720v22018
A Meta-Analysis of the Anomaly Detection Problem
Andrew Emmott, Shubhomoy Das, Thomas Dietterich +2
cs.AIcs.LGstat.MLarXiv:1503.01158v22015
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Mark T Keane, Eoin M Kenny, Eoin Delaney +1
cs.LGcs.AIarXiv:2103.01035v12021
Defeating the Training-Inference Mismatch via FP16
Penghui Qi, Zichen Liu, Xiangxin Zhou +4
cs.LGcs.AIcs.CLarXiv:2510.26788v12025
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig, Tianmin Shu, Shuang Li +5
cs.AIcs.LGcs.MAarXiv:2010.09890v22020
Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation
Evan Bell, Jiaming Liu, Yifan Chen +1
eess.IVcs.CVcs.LGarXiv:2608.28872v12026
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt, Madhu S. Advani, Andrew M. Saxe +2
stat.MLcond-mat.dis-nncond-mat.stat-mecharXiv:1906.08632v22019
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar, Shurui Zhou, Grace Lewis +1
cs.SEcs.LGarXiv:2110.10234v42021
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Theophile Gervet, Zhou Xian, Nikolaos Gkanatsios +1
cs.ROcs.AIcs.LGarXiv:2306.17817v22023
Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness
Sagar Srinivas Sakhinana, Venkataramana Runkana
cs.SEcs.AIcs.LGarXiv:2609.00050v12026
Horizon Reduction Makes RL Scalable
Seohong Park, Kevin Frans, Deepinder Mann +3
cs.LGcs.AIarXiv:2506.04168v32025
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren, Renjie Liao, Ethan Fetaya +1
cs.LGcs.CVstat.MLarXiv:1810.07218v32018
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken, Erman Acar, Frank van Harmelen
cs.AIcs.LGcs.LOarXiv:2002.06100v22020
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier
Jian Liang, Dapeng Hu, Jiashi Feng
cs.CVcs.LGarXiv:2007.04171v52020
Flex Attention: A Programming Model for Generating Optimized Attention Kernels
Juechu Dong, Boyuan Feng, Driss Guessous +2
cs.LGcs.PFcs.PLarXiv:2412.05496v12024
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
Ziyu Wan, Yunxiang Li, Xiaoyu Wen +8
cs.AIcs.CLcs.LGarXiv:2503.09501v32025
DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation
Zhao Mandi, Yifan Hou, Dieter Fox +3
cs.ROcs.AIcs.LGarXiv:2505.24853v12025
Deep Learning for Screening COVID-19 using Chest X-Ray Images
Sanhita Basu, Sushmita Mitra, Nilanjan Saha
eess.IVcs.CVcs.LGarXiv:2004.10507v42020
Self-Adapting Language Models
Adam Zweiger, Jyothish Pari, Han Guo +3
cs.LGarXiv:2506.10943v22025
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
cs.AIcs.LGarXiv:2212.02746v12022
Global Sensitivity Analysis with Dependence Measures
Sébastien Da Veiga
math.STcs.LGstat.MLarXiv:1311.2483v12013
SWE-Exp: Experience-Driven Software Issue Resolution
Silin Chen, Shaoxin Lin, Yuling Shi +8
cs.SEcs.CLcs.LGarXiv:2507.23361v22025
ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
Siheng Zhao, Yanjie Ze, Yue Wang +4
cs.ROcs.LGarXiv:2510.05070v22025
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren +7
cs.GRcs.CVcs.LGarXiv:2308.05371v12023
MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance
Quanhao Li, Zhen Xing, Rui Wang +3
cs.CVcs.AIcs.LGarXiv:2503.16421v32025
ServerlessLLM: Low-Latency Serverless Inference for Large Language Models
Yao Fu, Leyang Xue, Yeqi Huang +4
cs.LGcs.DCarXiv:2401.14351v22024
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD
Zeyuan Allen-Zhu
cs.LGcs.DSmath.OCarXiv:1801.02982v32018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter, Đorđe Miladinović, Bernhard Schölkopf +1
stat.MLcs.LGarXiv:1811.00007v22018
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
Xuechen Zhang, Zijian Huang, Yingcong Li +3
cs.LGarXiv:2506.17211v12025
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge, Jing Hu, Lei Wang +3
cs.CLcs.AIcs.LGarXiv:2307.06945v42023
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
Charith Mendis, Alex Renda, Saman Amarasinghe +1
cs.DCcs.LGstat.MLarXiv:1808.07412v22018
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
Yiran Guo, Lijie Xu, Jie Liu +2
cs.LGcs.AIcs.CLarXiv:2505.23564v22025
Neural Network Matrix Factorization
Gintare Karolina Dziugaite, Daniel M. Roy
cs.LGstat.MLarXiv:1511.06443v22015
Automatic Anomaly Detection in the Cloud Via Statistical Learning
Jordan Hochenbaum, Owen S. Vallis, Arun Kejariwal
cs.LGarXiv:1704.07706v12017
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
Yi-Ping Chen, Vispi Karkaria, Ying-Kuan Tsai +5
cs.LGcs.AIeess.SYarXiv:2501.07601v52025

Machine Learning

Workload Identification with Physical Side Channels for AI Governance

Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation

Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Modeling Documents with Deep Boltzmann Machines

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning

Do Language Models Use Their Depth Efficiently?

Dataset Distillation via Factorization

The Disparate Effects of Strategic Manipulation

Topology of deep neural networks

Online Coreset Selection for Rehearsal-based Continual Learning

UFT: Unifying Supervised and Reinforcement Fine-Tuning

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

Deep Nearest Neighbor Anomaly Detection

Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap

Dual Mixup Regularized Learning for Adversarial Domain Adaptation

Explaining in Style: Training a GAN to explain a classifier in StyleSpace

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond

CyCLIP: Cyclic Contrastive Language-Image Pretraining

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Gotta Learn Fast: A New Benchmark for Generalization in RL

A Meta-Analysis of the Anomaly Detection Problem

If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques

Defeating the Training-Inference Mismatch via FP16

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration

Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup

Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness

Horizon Reduction Makes RL Scalable

Incremental Few-Shot Learning with Attention Attractor Networks

Analyzing Differentiable Fuzzy Logic Operators

Domain Adaptation with Auxiliary Target Domain-Oriented Classifier

Flex Attention: A Programming Model for Generating Optimized Attention Kernels

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

DexMachina: Functional Retargeting for Bimanual Dexterous Manipulation

Deep Learning for Screening COVID-19 using Chest X-Ray Images

Self-Adapting Language Models

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

Global Sensitivity Analysis with Dependence Measures

SWE-Exp: Experience-Driven Software Issue Resolution

ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance

ServerlessLLM: Low-Latency Serverless Inference for Large Language Models

How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness

BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning

In-context Autoencoder for Context Compression in a Large Language Model

Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

Neural Network Matrix Factorization

Automatic Anomaly Detection in the Cloud Via Statistical Learning

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks