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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25,441 to 25,500 of 33,208

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization
Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou
cs.ROcs.LGarXiv:2610.09350v12026
$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation
Dawid Lipinski, Jixiang Qing, Henry Moss
cs.LGarXiv:2610.11549v12026
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
Wonbong Jang, Lourdes Agapito
cs.GRcs.CVcs.LGarXiv:2109.01750v12021
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, SeongUk Park, Jangho Kim +1
cs.LGcs.AIcs.CVarXiv:2002.01775v32020
Decoding-time Realignment of Language Models
Tianlin Liu, Shangmin Guo, Leonardo Bianco +7
cs.LGcs.AIcs.CLarXiv:2402.02992v22024
FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang, Wanyi He, Yuefeng Wang +8
cs.LGcs.AIcs.FLarXiv:2511.02872v42025
On the Learnability of Watermarks for Language Models
Chenchen Gu, Xiang Lisa Li, Percy Liang +1
cs.LGcs.CLcs.CRarXiv:2312.04469v32023
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin, Pin Wang, Ching-Yao Chan +3
cs.LGcs.ROstat.MLarXiv:1906.02815v12019
PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders
Chloé Hashimoto-Cullen, Ghislain Agoua, Benjamin Guedj +1
stat.MLcs.LGarXiv:2609.05212v12026
SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision
Rong Wan, Wei Xie, Jiaxi Li +4
cs.SDcs.LGarXiv:2609.39679v12026
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
Meng Tang, Yimin Liu, Louis J. Durlofsky
cs.LGphysics.comp-phstat.MLarXiv:1908.05823v12019
Community detection in node-attributed social networks: a survey
Petr Chunaev
cs.SIcs.LGcs.PFarXiv:1912.09816v22019
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems
Lei Zhang, David Zhang
cs.LGarXiv:1505.06405v12015
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Ammarah Farooq, Muhammad Awais, Josef Kittler +1
cs.CVcs.LGarXiv:2101.08238v32021
Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
Mahmoud Selim, Cristina Cipriani, Karl H. Johansson
cs.LGcs.AIcs.ROarXiv:2609.06882v12026
Iterative Instance Segmentation
Ke Li, Bharath Hariharan, Jitendra Malik
cs.CVcs.LGarXiv:1511.08498v32015
Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
Wongyu Kim, Hochang Lee, Sanghak Lee +2
cs.CLcs.AIcs.IRarXiv:2511.02358v12025
Crossflow: Prefill-Decode Elasticity for Agentic LLM Serving
Yi Xu, Ehsan K. Ardestani, Wenyin Fu +7
cs.DCcs.AIcs.LGarXiv:2609.27085v12026
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke, William Ellsworth, Oishi Banerjee +2
cs.CVcs.AIcs.LGarXiv:2101.06871v22021
Stability-Plasticity Balance via Singular-Vector Selection in LLM Continual Learning
Lingxiang Wang, Hainan Zhang, Liang Pang +2
cs.LGcs.AIarXiv:2610.11076v12026
Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning
Rameen Mahmood, Xuhai "Orson" Xu, Zachary Beattie +2
cs.LGcs.AIarXiv:2609.36409v12026
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother +5
cs.LGarXiv:2504.11054v12025
From Retrieval to Customer Context: Evaluating Frontier-Model Systems for Voice-of-Customer Analysis
Raviraja G, Viraj Bagal, Prabhath Chellingi
cs.LGarXiv:2610.09375v12026
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2
cs.LGcs.AIcs.CVarXiv:1709.04905v12017
CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
Zijian Zhang, Rong Wang, Shiyang Li +3
cs.LGcs.AIcs.CLarXiv:2511.01884v22025
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
cs.LGarXiv:1610.02413v12016
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop
Anamaria Crisan, Brittany Fiore-Gartland
cs.HCcs.CYcs.LGarXiv:2101.04296v12021
Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards
Leqi Zheng, Jinbo Su, Fang Niu +8
cs.LGarXiv:2609.03342v12026
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey +2
cs.LGcs.ROmath.OCarXiv:2006.12466v12020
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Zhijie Lin, Zhou Zhao, Zhu Zhang +2
cs.CVcs.LGcs.MMarXiv:1911.08199v32019
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer +5
cs.LGarXiv:1505.06378v32015
One-Class Classification: A Survey
Pramuditha Perera, Poojan Oza, Vishal M. Patel
cs.CVcs.LGarXiv:2101.03064v12021
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar +1
cs.LGcs.AIcs.CVarXiv:2402.02651v32024
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque +5
cs.LGarXiv:1607.07034v12016
Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen, Jens Behrmann, David Duvenaud +1
stat.MLcs.LGarXiv:1906.02735v62019
GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
Arpita Joshi
cs.LGcs.AIarXiv:2609.02160v12026
FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference
Gatien Séguy, Thomas Rodet
cs.LGcs.AIstat.MLarXiv:2609.29216v12026
Learning Loss for Active Learning
Donggeun Yoo, In So Kweon
cs.CVcs.LGarXiv:1905.03677v12019
Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning
Yanwei Jia, Du Ouyang, Yufei Zhang
cs.LGcs.NAmath.NAarXiv:2503.09981v22025
Equivariant Manifold Flows
Isay Katsman, Aaron Lou, Derek Lim +3
stat.MLcs.LGmath.DGarXiv:2107.08596v22021
Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
physics.soc-phcs.LGarXiv:2101.02453v12021
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo, Yumin Suh, Dongwan Kim +3
cs.LGstat.MLarXiv:1907.04275v32019
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López +2
cs.LGq-bio.MNstat.MLarXiv:1906.01277v22019
Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
Eashan Gupta, Yongzhou Chen, Apoorve Mohan +3
cs.NIcs.DCcs.LGarXiv:2609.04417v12026
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong +2
cs.LGcs.CLcs.LOarXiv:1908.06177v22019
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma, Hongshu Guo, Jiacheng Chen +4
math.OCcs.AIcs.CLarXiv:2403.01131v22024
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation
Rui Wang, Zuxuan Wu, Zejia Weng +3
cs.CVcs.AIcs.LGarXiv:2106.05528v22021
Bounding Retraining Equivalence and the Deletion Floor in Materials Machine Unlearning
Can Polat, Mustafa Kurban, Erchin Serpedin +1
cs.LGcond-mat.mtrl-sciquant-pharXiv:2609.35635v12026
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
Zhendong Zhang, Cheolkon Jung
cs.CVcs.LGarXiv:1909.04373v22019
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi +2
cs.LGstat.MLarXiv:1809.02925v22018
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen, Neil Band, Clare Lyle +3
cs.LGstat.MLarXiv:2106.02584v22021
Auditing Black-box Models for Indirect Influence
Philip Adler, Casey Falk, Sorelle A. Friedler +4
stat.MLcs.LGarXiv:1602.07043v22016
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges
Ali Khalajmehrabadi, Nikolaos Gatsis, David Akopian
cs.NIcs.LGarXiv:1610.05424v12016
Reinforcement Learning of Theorem Proving
Cezary Kaliszyk, Josef Urban, Henryk Michalewski +1
cs.AIcs.LGcs.LOarXiv:1805.07563v12018
GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah, Ajay Sridhar, Arjun Bhorkar +2
cs.ROcs.AIcs.LGarXiv:2210.03370v22022
HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization
Feijie Wu, Hugo Barbalho, Konstantina Mellou +5
cs.CLcs.LGcs.NEarXiv:2609.36303v12026
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Alexandr A. Kalinin, Gerald A. Higgins, Narathip Reamaroon +5
q-bio.QMcs.LGstat.MLarXiv:1801.08570v22018
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
Qinghao Hu, Peng Sun, Shengen Yan +2
cs.DCcs.LGarXiv:2109.01313v22021
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis
Tsung-Hui Chang, Mingyi Hong, Wei-Cheng Liao +1
cs.DCcs.LGeess.SYarXiv:1509.02597v22015
Shared Low-rank Basis Factorization for Data-free Mixture-of-Experts Compression
Tianxiao Cao, Jiahe Shao, Yuning Qiu +3
cs.LGcs.AIarXiv:2610.09342v12026

Machine Learning

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization

$C_4$-Equivariant Flow Matching on Anisotropic Power-Diagram Graphs for Microstructure Generation

CodeNeRF: Disentangled Neural Radiance Fields for Object Categories

Feature-map-level Online Adversarial Knowledge Distillation

Decoding-time Realignment of Language Models

FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels

On the Learnability of Watermarks for Language Models

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders

SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision

A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

Community detection in node-attributed social networks: a survey

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification

Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning

Iterative Instance Segmentation

Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation

Crossflow: Prefill-Decode Elasticity for Agentic LLM Serving

CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation

Stability-Plasticity Balance via Singular-Vector Selection in LLM Continual Learning

Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

From Retrieval to Customer Context: Evaluating Frontier-Model Systems for Voice-of-Customer Analysis

One-Shot Visual Imitation Learning via Meta-Learning

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Equality of Opportunity in Supervised Learning

Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop

Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards

Information Theoretic Regret Bounds for Online Nonlinear Control

Weakly-Supervised Video Moment Retrieval via Semantic Completion Network

Monotonic Calibrated Interpolated Look-Up Tables

One-Class Classification: A Survey

Vision-Language Models Provide Promptable Representations for Reinforcement Learning

Impact of Physical Activity on Sleep:A Deep Learning Based Exploration

Residual Flows for Invertible Generative Modeling

GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories

FB-GDM: Fully-Bayesian Guided Diffusion Models for High-Dimensional Linear Inverse Problems via Unsupervised Variational Inference

Learning Loss for Active Learning

Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning

Equivariant Manifold Flows

Machine learning dismantling and early-warning signals of disintegration in complex systems

Learning to Optimize Domain Specific Normalization for Domain Generalization

Wasserstein Weisfeiler-Lehman Graph Kernels

Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Cross-domain Contrastive Learning for Unsupervised Domain Adaptation

Bounding Retraining Equivalence and the Deletion Floor in Materials Machine Unlearning

GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs

Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

Auditing Black-box Models for Indirect Influence

Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges

Reinforcement Learning of Theorem Proving

GNM: A General Navigation Model to Drive Any Robot

HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization

Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification

Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis

Shared Low-rank Basis Factorization for Data-free Mixture-of-Experts Compression