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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25,201 to 25,260 of 33,169

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin, David J Wu, Adam Lerer +5
cs.GTcs.AIcs.LGarXiv:2210.05492v12022
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe +6
cs.AIcs.CLcs.LGarXiv:2609.31619v12026
On the Exploitability of Instruction Tuning
Manli Shu, Jiongxiao Wang, Chen Zhu +3
cs.CRcs.CLcs.LGarXiv:2306.17194v22023
GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
Denis Pavlov, Ulanbek Abdurazakov, Nursultan Bakashov
eess.AScs.CLcs.LGarXiv:2609.04222v12026
A Fixed-Radius Distance-Band Benchmark for Dimensionality-Reduction Fidelity
Yoshio Takaeda
cs.LGarXiv:2608.21779v12026
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin +3
cs.LGarXiv:2405.16833v22024
Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
Leyang Li, Shilin Lu, Yan Ren +1
cs.CVcs.AIcs.CRarXiv:2504.12782v12025
WALT: Web Agents that Learn Tools
Viraj Prabhu, Yutong Dai, Matthew Fernandez +8
cs.CVcs.AIcs.LGarXiv:2510.01524v12025
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
Chih-Yao Chen, Cheng-Te Li
cs.CLcs.IRcs.LGarXiv:2104.04697v12021
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng, Wenbing Huang, Minnan Luo +4
cs.LGcs.AIstat.MLarXiv:2002.01169v12020
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang +9
cs.LGarXiv:2503.11043v22025
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar, Mayank Rathee, Nishanth Chandran +3
cs.CRcs.LGcs.PLarXiv:1909.07814v22019
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
Fernando Gama, Elvin Isufi, Geert Leus +1
cs.LGeess.SYstat.MLarXiv:2003.03777v52020
It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank
Samuel Tetteh, Cody Fleming
cs.CVcs.LGarXiv:2610.09517v12026
A Survey on Contextual Multi-armed Bandits
Li Zhou
cs.LGarXiv:1508.03326v22015
MORE-PLR: multi-output regression employed for partial label ranking
Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs
cs.LGarXiv:2609.29386v12026
Discovering Forbidden Topics in Language Models
Can Rager, Chris Wendler, Rohit Gandikota +1
cs.CLcs.AIcs.LGarXiv:2505.17441v32025
A convolutional framework for detecting event-driven dynamics in energy price series
Caixia Xu, Piotr Fryzlewicz
stat.MLcs.LGstat.MEarXiv:2609.00402v12026
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Jonathan D. Chang, Masatoshi Uehara, Dhruv Sreenivas +2
cs.LGstat.MLarXiv:2106.03207v32021
The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems
Yue Xing, Pengfei He, Zitao Li
cs.CRcs.AIcs.LGarXiv:2609.27155v12026
Fast and Efficient Locomotion via Learned Gait Transitions
Yuxiang Yang, Tingnan Zhang, Erwin Coumans +2
cs.ROcs.LGarXiv:2104.04644v32021
Machine learning in acoustics: theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer +4
eess.SPcs.LGcs.SDarXiv:1905.04418v42019
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
Ilia Igashov, Hannes Stärk, Clément Vignac +5
cs.LGq-bio.BMarXiv:2210.05274v12022
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang, Jibing Gong, Jinlong Wang +4
cs.LGcs.CYcs.IRarXiv:2006.13257v12020
Classifying Relations by Ranking with Convolutional Neural Networks
Cicero Nogueira dos Santos, Bing Xiang, Bowen Zhou
cs.CLcs.LGcs.NEarXiv:1504.06580v22015
FastMix: Fast Data Mixture Optimization via Gradient Descent
Haoru Tan, Sitong Wu, Yanfeng Chen +5
cs.LGcs.AIarXiv:2606.14971v12026
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong Nguyen Nguyen, Jean Meunier
cs.CVcs.LGcs.NEarXiv:1908.06351v12019
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
Juntao Tan, Shuyuan Xu, Wenyue Hua +3
cs.IRcs.AIcs.CLarXiv:2403.19021v22024
Inference-time Scaling of Diffusion Models through Classical Search
Xiangcheng Zhang, Haowei Lin, Haotian Ye +4
cs.LGstat.MLarXiv:2505.23614v22025
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller +2
cs.IRcs.AIcs.CLarXiv:2004.02349v22020
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Hanwen Liang, Shifeng Zhang, Jiacheng Sun +4
cs.CVcs.LGarXiv:1909.06035v22019
Resource-Efficient QUBO Formulation for Anchored Currency Arbitrage
Eric A. F. Reinhardt, Adam J. Hauser
quant-phcs.LGarXiv:2608.15889v12026
ORION: Teaching Language Models to Reason Efficiently in the Language of Thought
Kumar Tanmay, Kriti Aggarwal, Paul Pu Liang +1
cs.AIcs.CLcs.LGarXiv:2511.22891v12025
New Benchmarks for Learning on Non-Homophilous Graphs
Derek Lim, Xiuyu Li, Felix Hohne +1
cs.LGcs.SIarXiv:2104.01404v22021
The Constitutional Coverage Trilemma in AI Governance
Natalija Mitic, Soona Sedahmed A. O., Mamadou Selly Ly +1
cs.LGcs.AIarXiv:2609.01275v12026
LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics
Mariia Baranova, Adrien Petralia, Etienne Le Naour +3
cs.LGcs.AIeess.SParXiv:2609.11639v12026
Hyperspherical Semantic Trajectory Analysis: Mapping Technological Diffusion across Academic Preprints, Patent Signals, and Compute Scaling
Muhammad Sukri Bin Ramli
cs.CLcs.LGarXiv:2609.35845v12026
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang, Meng Qu, Qiaozhu Mei
cs.CLcs.LGcs.NEarXiv:1508.00200v12015
Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs
Deokjae Lee, Sihun Chu, Hyun Oh Song
cs.LGcs.AIarXiv:2608.30564v12026
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang
cs.LGcs.ITarXiv:2109.15258v32021
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
Xiang Li, Garrett Wen, Weiqing He +3
stat.MLcs.CLcs.LGarXiv:2506.22343v22025
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn, Kelvin Xu, Sergey Levine
cs.LGcs.AIstat.MLarXiv:1806.02817v22018
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation
Rongye Shi, Zhaobin Mo, Kuang Huang +2
cs.LGarXiv:2106.03142v42021
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
math.OCcs.LGstat.MLarXiv:1511.05932v12015
Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
Alexi Gladstone, Heng Ji, Yilun Du
cs.LGcs.AIcs.CLarXiv:2607.27372v12026
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline
Sumon Biswas, Hridesh Rajan
cs.LGarXiv:2106.06054v52021
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
Hamid Bekamiri, Daniel S. Hain, Roman Jurowetzki
cs.LGecon.EMarXiv:2103.11933v32021
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang, Hongyu Ren, Peng Chen +4
cs.LGcs.AIarXiv:2305.12600v12023
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin-Brualla +3
cs.CVcs.GRcs.LGarXiv:2210.04628v12022
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGcs.NEstat.MLarXiv:1802.04364v42018
Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design
Chuhan Yang, Chenxi Wang, Linhan Wu +1
math.OCcs.LGarXiv:2608.27873v12026
Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma
Subramanyam Sahoo, Aman Chadha, Vinija Jain +1
cs.LGstat.MLarXiv:2511.19504v12025
Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM
Yang Liu, Xiaolong Zhong, Ling Jiang
cs.LGcs.AIarXiv:2511.19496v12025
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi, Qi Zhang, Wei Fan +7
cs.LGcs.AIarXiv:2302.02173v62023
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov, Alexey Dosovitskiy
cs.CVcs.LGarXiv:1810.09381v12018
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
cs.LGstat.MLarXiv:1304.5299v42013
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi
cs.CVcs.LGstat.MLarXiv:1910.08485v12019
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
cs.LGcs.AImath.OCarXiv:2006.13165v42020
The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld, Yury Polyanskiy
cs.LGstat.MLarXiv:2004.14941v22020

Machine Learning

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency

On the Exploitability of Instruction Tuning

GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue

A Fixed-Radius Distance-Band Benchmark for Dimensionality-Reduction Fidelity

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts

WALT: Web Agents that Learn Tools

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Graph Representation Learning via Graphical Mutual Information Maximization

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences

CrypTFlow: Secure TensorFlow Inference

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank

A Survey on Contextual Multi-armed Bandits

MORE-PLR: multi-output regression employed for partial label ranking

Discovering Forbidden Topics in Language Models

A convolutional framework for detecting event-driven dynamics in energy price series

Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage

The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems

Fast and Efficient Locomotion via Learned Gait Transitions

Machine learning in acoustics: theory and applications

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

Classifying Relations by Ranking with Convolutional Neural Networks

FastMix: Fast Data Mixture Optimization via Gradient Descent

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

IDGenRec: LLM-RecSys Alignment with Textual ID Learning

Inference-time Scaling of Diffusion Models through Classical Search

TAPAS: Weakly Supervised Table Parsing via Pre-training

DARTS+: Improved Differentiable Architecture Search with Early Stopping

Resource-Efficient QUBO Formulation for Anchored Currency Arbitrage

ORION: Teaching Language Models to Reason Efficiently in the Language of Thought

New Benchmarks for Learning on Non-Homophilous Graphs

The Constitutional Coverage Trilemma in AI Governance

LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

Hyperspherical Semantic Trajectory Analysis: Mapping Technological Diffusion across Academic Preprints, Patent Signals, and Compute Scaling

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs

Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

Probabilistic Model-Agnostic Meta-Learning

A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation

On the Global Linear Convergence of Frank-Wolfe Optimization Variants

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline

PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT

PRODIGY: Enabling In-context Learning Over Graphs

Novel View Synthesis with Diffusion Models

Junction Tree Variational Autoencoder for Molecular Graph Generation

Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design

Position: The Complexity of Perfect AI Alignment -- Formalizing the RLHF Trilemma

Xmodel-2.5: 1.3B Data-Efficient Reasoning SLM

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping

The Information Bottleneck Problem and Its Applications in Machine Learning