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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27,181 to 27,240 of 33,092

End-to-End Learning for Structured Prediction Energy Networks
David Belanger, Bishan Yang, Andrew McCallum
stat.MLcs.LGarXiv:1703.05667v22017
Analysis Operator Learning and Its Application to Image Reconstruction
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
cs.LGcs.CVarXiv:1204.5309v32012
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan +2
cs.LGcs.CLstat.MLarXiv:2105.06337v22021
Optimal Transport for Domain Adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia +1
cs.LGarXiv:1507.00504v22015
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization
Alonso Marco, Felix Berkenkamp, Philipp Hennig +4
cs.ROcs.LGcs.SYarXiv:1703.01250v12017
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Nasser Mohammadiha, Paris Smaragdis, Arne Leijon
cs.SDcs.LGarXiv:1709.05362v12017
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert +6
cs.LGstat.MLarXiv:1808.04730v32018
Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement Learning
Xinjie Liu, Ruihan Zhao, Anirban Chaudhuri +3
cs.LGcs.AIcs.ROarXiv:2610.02505v12026
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
Weichao Mao, Kaiqing Zhang, Qiaomin Xie +1
cs.AIcs.LGarXiv:2006.04672v22020
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
Peng Xia, Rujun Han, Zifeng Wang +11
cs.LGcs.AIcs.CLarXiv:2609.24972v12026
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, Stanisław Jastrzębski +2
stat.MLcs.LGarXiv:1809.08848v32018
DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
Speed Zhu, Jianwei Cai, Guang Chen +3
cs.LGarXiv:2511.06307v12025
Unfolding the Leech Lattice: Fused Multi-Shell Decoding and VRAM Layouts for 2-Bit LLM Weights
Pier-Jean Malandrino
cs.LGarXiv:2609.02652v12026
Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
Ahmet M. Elbir, Anastasios Papazafeiropoulos
eess.SPcs.ITcs.LGarXiv:1911.04239v12019
Canopy: Exploiting Piecewise Smooth Tree Priors for Multi-Fidelity Bandits
Michael Jerge, Suman Jana
cs.LGcs.AIarXiv:2609.30017v12026
Learning Sparse Decision Trees via Transformer Variational Auto-Encoders
Giacomo Fidone, Alessio Cascione, Riccardo Guidotti
cs.LGcs.AIarXiv:2609.01430v12026
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade +2
cs.LGcs.AIcs.ROarXiv:1811.01848v32018
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
Haoqin Tu, Chenhang Cui, Zijun Wang +6
cs.CVcs.CLcs.LGarXiv:2311.16101v12023
MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples
Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1711.08478v12017
Accelerating DNN Training in Wireless Federated Edge Learning Systems
Jinke Ren, Guanding Yu, Guangyao Ding
cs.LGeess.SParXiv:1905.09712v32019
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Vijay Ekambaram, Arindam Jati, Pankaj Dayama +5
cs.LGcs.AIarXiv:2401.03955v82024
A Multi-model Combination Approach for Probabilistic Wind Power Forecasting
You Lin, Ming Yang, Can Wan +2
cs.LGstat.AParXiv:1702.03613v12017
WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling
Zhongzheng Li, Qingsong Ran, Shikun Feng +5
cs.LGcs.AIarXiv:2609.01608v12026
Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
Peter Chen, Xi Chen
cs.LGcs.AIarXiv:2606.01708v12026
DiffusionPDE: Generative PDE-Solving Under Partial Observation
Jiahe Huang, Guandao Yang, Zichen Wang +1
cs.LGcs.AIcs.CVarXiv:2406.17763v22024
Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts
Saman Rahbar, Xiliang Zhu, Irvin Cardoza +1
cs.CLcs.AIcs.LGarXiv:2609.00330v12026
Instance Credibility Inference for Few-Shot Learning
Yikai Wang, Chengming Xu, Chen Liu +2
cs.CVcs.LGarXiv:2003.11853v22020
What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle
Peilin Wang, Feng Shiyang, Hongfu Gao +4
cs.LGcs.AIarXiv:2610.04303v12026
Learning to Complete Code with Sketches
Daya Guo, Alexey Svyatkovskiy, Jian Yin +3
cs.LGcs.SEarXiv:2106.10158v22021
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +2
cs.CVcs.LGarXiv:2006.04604v42020
Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification
Sujay Khandagale, Han Xiao, Rohit Babbar
cs.LGstat.MLarXiv:1904.08249v22019
Lipschitz Continuity in Model-based Reinforcement Learning
Kavosh Asadi, Dipendra Misra, Michael L. Littman
cs.LGcs.AIstat.MLarXiv:1804.07193v32018
Pool-Based Sequential Active Learning for Regression
Dongrui Wu
cs.LGstat.MLarXiv:1805.04735v12018
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang, Hongxu Chen, Xiao Ming +3
cs.IRcs.LGarXiv:2105.08908v12021
Behavior Knowledge Merge in Reinforced Agentic Models
Xiangchi Yuan, Dachuan Shi, Chunhui Zhang +4
cs.LGarXiv:2601.13572v12026
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
cs.CLcs.FLcs.LGarXiv:1906.06755v22019
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications
Li Wei, Chongwen Huang, George C. Alexandropoulos +3
cs.ITcs.LGeess.SParXiv:2008.01459v22020
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang, Guangqi Jiang, Yanjie Ze +1
cs.LGcs.CVcs.ROarXiv:2312.14134v32023
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +307
cs.AIcs.CLcs.LGarXiv:2606.05405v22026
TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents
Leitian Tao, Baolin Peng, Wenlin Yao +5
cs.LGarXiv:2607.13988v12026
ESS: Learning Event-based Semantic Segmentation from Still Images
Zhaoning Sun, Nico Messikommer, Daniel Gehrig +1
cs.CVcs.LGarXiv:2203.10016v22022
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Lynn Chua, Badih Ghazi, Yangsibo Huang +6
cs.CLcs.CRcs.LGarXiv:2406.14322v32024
Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition
E. Riveros, D. Vega-Oliveros, A. Soriano-Vargas +1
cs.LGcs.AIarXiv:2610.02292v12026
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut +2
cs.CLcs.LGarXiv:2104.06378v52021
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
Zhi Wang, Botao He, Kelin Yu +4
cs.ROcs.AIcs.CVarXiv:2605.24934v32026
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler, Rob Fergus
cs.LGcs.NEstat.MLarXiv:1301.3557v12013
Goodhart's Law in Reinforcement Learning
Jacek Karwowski, Oliver Hayman, Xingjian Bai +3
cs.LGarXiv:2310.09144v12023
It Takes Two: Your GRPO Is Secretly DPO
Yihong Wu, Liheng Ma, Lei Ding +9
cs.LGcs.CLarXiv:2510.00977v32025
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin
cs.IRcs.LGarXiv:2003.06713v12020
Aether: Geometric-Aware Unified World Modeling
Aether Team, Haoyi Zhu, Yifan Wang +8
cs.CVcs.AIcs.LGarXiv:2503.18945v32025
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis, Paul M. Matthews, Yike Guo +1
stat.MLcs.LGarXiv:1610.01683v12016
One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars
Ramazan Fazylov, Stamatis Lefkimmiatis, Ivan Laptev
cs.CVcs.AIcs.HCarXiv:2610.02207v12026
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni, Srini Iyer, Dragomir Radev +4
cs.LGcs.CLcs.PLarXiv:2302.08468v32023
Dataless Knowledge Fusion by Merging Weights of Language Models
Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro +1
cs.CLcs.LGarXiv:2212.09849v62022
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang +3
cs.IRcs.CLcs.LGarXiv:2502.18418v22025
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Heli Ben-Hamu, Itai Gat, Daniel Severo +2
cs.LGarXiv:2505.24857v12025
Embedding Prediction Helps Image Generation
Sihan Xu, Ji Xie, Zilin Wang +2
cs.CVcs.LGarXiv:2610.02203v12026
HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees
Boyuan Meng, Peihua Bao, Hong Liu +4
cs.LGcs.DCarXiv:2608.28158v12026
Learning Long-Term Dependencies in Irregularly-Sampled Time Series
Mathias Lechner, Ramin Hasani
cs.LGstat.MLarXiv:2006.04418v42020
Rewarding High-Quality Data via Influence Functions
Adam Richardson, Aris Filos-Ratsikas, Boi Faltings
cs.LGcs.AIstat.MLarXiv:1908.11598v12019

Machine Learning

End-to-End Learning for Structured Prediction Energy Networks

Analysis Operator Learning and Its Application to Image Reconstruction

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

Optimal Transport for Domain Adaptation

Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

Analyzing Inverse Problems with Invertible Neural Networks

Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement Learning

POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

Unfolding the Leech Lattice: Fused Multi-Shell Decoding and VRAM Layouts for 2-Bit LLM Weights

Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems: A Deep Learning Approach

Canopy: Exploiting Piecewise Smooth Tree Priors for Multi-Fidelity Bandits

Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples

Accelerating DNN Training in Wireless Federated Edge Learning Systems

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

A Multi-model Combination Approach for Probabilistic Wind Power Forecasting

WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling

Two-Fidelity Best-Action Identification for Stochastic Minimax Tree

DiffusionPDE: Generative PDE-Solving Under Partial Observation

Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts

Instance Credibility Inference for Few-Shot Learning

What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle

Learning to Complete Code with Sketches

SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds

Bonsai -- Diverse and Shallow Trees for Extreme Multi-label Classification

Lipschitz Continuity in Model-based Reinforcement Learning

Pool-Based Sequential Active Learning for Regression

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems

Behavior Knowledge Merge in Reinforced Agentic Models

Theoretical Limitations of Self-Attention in Neural Sequence Models

Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Agents' Last Exam

TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents

ESS: Learning Event-based Semantic Segmentation from Still Images

Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning

Diffusion-Based Synthetic Data Pretraining for Enhancing Activity Recognition

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos

Stochastic Pooling for Regularization of Deep Convolutional Neural Networks

Goodhart's Law in Reinforcement Learning

It Takes Two: Your GRPO Is Secretly DPO

Document Ranking with a Pretrained Sequence-to-Sequence Model

Aether: Geometric-Aware Unified World Modeling

Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks

One Basis to Animate Them All: Gaussian Blendshape Distillation for Real-Time Avatars

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dataless Knowledge Fusion by Merging Weights of Language Models

Rank1: Test-Time Compute for Reranking in Information Retrieval

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

Embedding Prediction Helps Image Generation

HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees

Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Rewarding High-Quality Data via Influence Functions