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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4,621 to 4,680 of 19,931

Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri, Yang Zou, Gustavo K. Rohde
cs.LGstat.MLarXiv:1511.03198v12015
Multilingual Offensive Language Identification with Cross-lingual Embeddings
Tharindu Ranasinghe, Marcos Zampieri
cs.CLcs.LGarXiv:2010.05324v12020
Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis
Kensuke Nakamura, Lasse Peters, Andrea Bajcsy
cs.ROcs.LGarXiv:2502.00935v32025
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +3
cs.LGarXiv:1609.03323v32016
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le, Oisín Boydell, Brian Mac Namee +1
cs.CRcs.AIcs.LGarXiv:1807.08265v12018
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
Junjie Zhang, Minghao Ye, Zehua Guo +2
cs.NIcs.LGarXiv:2004.11986v12020
The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban, Umut Şimşekli, Lingjiong Zhu
math.OCcs.LGmath.STarXiv:2006.04740v52020
A convolutional framework for detecting event-driven dynamics in energy price series
Caixia Xu, Piotr Fryzlewicz
stat.MLcs.LGstat.MEarXiv:2609.00402v12026
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes
Carlo Baldassi, Christian Borgs, Jennifer Chayes +4
stat.MLcond-mat.dis-nncs.LGarXiv:1605.06444v32016
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents
Xu Li, Simon Yu, Minzhou Pan +5
cs.CRcs.AIcs.CLarXiv:2602.13379v22026
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
Zhengyang Li, Qijin Ji, Xinghong Ling +1
cs.LGarXiv:2509.03682v12025
Vision Mamba: A Comprehensive Survey and Taxonomy
Xiao Liu, Chenxu Zhang, Lei Zhang
cs.CVcs.AIcs.CLarXiv:2405.04404v12024
OCTID: Optical Coherence Tomography Image Database
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy +1
cs.CVcs.LGarXiv:1812.07056v22018
Audiobox: Unified Audio Generation with Natural Language Prompts
Apoorv Vyas, Bowen Shi, Matthew Le +21
cs.SDcs.LGeess.ASarXiv:2312.15821v12023
Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni, Richard Vidal, Marco Lorenzi
cs.LGstat.MLarXiv:2006.11901v52020
Out of the BLEU: how should we assess quality of the Code Generation models?
Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov +1
cs.SEcs.LGarXiv:2208.03133v22022
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
Belinda Z. Li, Been Kim, Zi Wang
cs.AIcs.CLcs.LGarXiv:2503.22674v22025
DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
Yi Chen, Yuying Ge, Hui Zhou +3
cs.ROcs.AIcs.CVarXiv:2603.29844v22026
A Mechanistic Analysis of Looped Reasoning Language Models
Hugh Blayney, Álvaro Arroyo, Johan Obando-Ceron +4
cs.LGcs.AIarXiv:2604.11791v12026
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
cs.ROcs.AIcs.CVarXiv:2501.05014v22025
Naive Bayes and Text Classification I - Introduction and Theory
Sebastian Raschka
cs.LGarXiv:1410.5329v42014
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara +5
cs.LGcs.AIcs.CRarXiv:2505.04873v12025
Fast Task Inference with Variational Intrinsic Successor Features
Steven Hansen, Will Dabney, Andre Barreto +3
cs.LGcs.AIstat.MLarXiv:1906.05030v22019
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang, Joey Tianyi Zhou, Yu Zhang +3
cs.CVcs.LGarXiv:1504.05843v22015
Extremely Fast Decision Tree
Chaitanya Manapragada, Geoff Webb, Mahsa Salehi
cs.LGstat.MLarXiv:1802.08780v12018
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye +3
cs.LGstat.MLarXiv:1705.08051v12017
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang +8
cs.CLcs.AIcs.LGarXiv:2502.19411v12025
Learning multiview 3D point cloud registration
Zan Gojcic, Caifa Zhou, Jan D. Wegner +2
cs.CVcs.LGarXiv:2001.05119v22020
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng +5
cs.CVcs.GRcs.LGarXiv:2304.01893v12023
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim, Junyoung Park, Jinkyoo Park
cs.LGstat.MLarXiv:2205.13209v22022
Provable Inductive Matrix Completion
Prateek Jain, Inderjit S. Dhillon
cs.LGcs.ITstat.MLarXiv:1306.0626v12013
A Survey on Diffusion Language Models
Tianyi Li, Mingda Chen, Bowei Guo +1
cs.CLcs.AIcs.LGarXiv:2508.10875v32025
Hashing with binary autoencoders
Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
cs.LGcs.CVmath.OCarXiv:1501.00756v12015
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Nadya Abdel Madjid, Abdulrahman Ahmad, Murad Mebrahtu +7
cs.ROcs.AIcs.CVarXiv:2503.03262v32025
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu +4
cs.LGcs.AIcs.CVarXiv:2203.05880v12022
NAS evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci
cs.LGcs.CVstat.MLarXiv:1912.12522v32019
Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream
Amr Ahmed, Eric P. Xing
cs.IRcs.LGstat.MLarXiv:1203.3463v12012
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah, Chinmay Hegde
stat.MLcs.LGarXiv:1802.08406v12018
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin, Yuen Chen, Felix Leeb +8
cs.CLcs.AIcs.LGarXiv:2312.04350v32023
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang +2
cs.LGeess.SYmath.OCarXiv:1905.09435v32019
Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks
Lawrence Keunho Jang, Jing Yu Koh, Daniel Fried +1
cs.LGcs.CLarXiv:2604.24964v12026
TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
Songtao Huang, Zhen Zhao, Can Li +1
cs.LGcs.AIarXiv:2502.06910v22025
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark
Tara Safavi, Danai Koutra
cs.CLcs.AIcs.IRarXiv:2009.07810v22020
Learning Getting-Up Policies for Real-World Humanoid Robots
Xialin He, Runpei Dong, Zixuan Chen +1
cs.ROcs.LGarXiv:2502.12152v22025
Score-Based Causal Discovery of Latent Variable Causal Models
Ignavier Ng, Xinshuai Dong, Haoyue Dai +3
cs.LGstat.MLarXiv:2605.20396v12026
The Optimal Sample Complexity of PAC Learning
Steve Hanneke
cs.LGstat.MLarXiv:1507.00473v42015
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2
cs.CVcs.LGarXiv:2110.03101v22021
Implicit Graph Neural Networks
Fangda Gu, Heng Chang, Wenwu Zhu +2
cs.LGstat.MLarXiv:2009.06211v32020
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Chen Qiu, Timo Pfrommer, Marius Kloft +2
cs.LGcs.AIarXiv:2103.16440v42021
Aligning Language Models from User Interactions
Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor +3
cs.CLcs.AIcs.LGarXiv:2603.12273v12026
On the generalization of language models from in-context learning and finetuning: a controlled study
Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan +7
cs.CLcs.AIcs.LGarXiv:2505.00661v32025
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash +1
cs.CVcs.AIcs.CLarXiv:2011.00597v12020
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaž Božič, Pablo Palafox, Justus Thies +2
cs.CVcs.GRcs.LGarXiv:2107.02191v12021
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann, Samuel Müller, Frank Hutter
cs.AIcs.LGarXiv:2305.03403v52023
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
Ling Yang, Zhaochen Yu, Bin Cui +1
cs.CLcs.AIcs.LGarXiv:2502.06772v22025
An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection
Basil Sajid Shaikh, Melrick Mascarenhas, Nuzhat Faiz Shaikh
cs.AIcs.LGarXiv:2608.29973v12026
Temporal Straightening for Latent Planning
Ying Wang, Oumayma Bounou, Gaoyue Zhou +4
cs.LGarXiv:2603.12231v32026
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Rong Dai, Li Shen, Fengxiang He +2
cs.LGarXiv:2206.00187v12022
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Ming Zeng, Haoxiang Gao, Tong Yu +4
cs.LGcs.AIstat.MLarXiv:1810.04038v12018
Few-shot Text Classification with Distributional Signatures
Yujia Bao, Menghua Wu, Shiyu Chang +1
cs.CLcs.LGarXiv:1908.06039v32019

Machine Learning

Sliced Wasserstein Kernels for Probability Distributions

Multilingual Offensive Language Identification with Cross-lingual Embeddings

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks

Deep learning at the shallow end: Malware classification for non-domain experts

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

The Heavy-Tail Phenomenon in SGD

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

Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes

Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games

Vision Mamba: A Comprehensive Survey and Taxonomy

OCTID: Optical Coherence Tomography Image Database

Audiobox: Unified Audio Generation with Natural Language Prompts

Free-rider Attacks on Model Aggregation in Federated Learning

Out of the BLEU: how should we assess quality of the Code Generation models?

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

A Mechanistic Analysis of Looped Reasoning Language Models

UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation

Naive Bayes and Text Classification I - Introduction and Theory

Federated Learning for Cyber Physical Systems: A Comprehensive Survey

Fast Task Inference with Variational Intrinsic Successor Features

Exploit Bounding Box Annotations for Multi-label Object Recognition

Extremely Fast Decision Tree

Wasserstein Learning of Deep Generative Point Process Models

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

Learning multiview 3D point cloud registration

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Provable Inductive Matrix Completion

A Survey on Diffusion Language Models

Hashing with binary autoencoders

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions

Multi-modal Graph Learning for Disease Prediction

NAS evaluation is frustratingly hard

Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream

Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees

CLadder: Assessing Causal Reasoning in Language Models

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Learning Getting-Up Policies for Real-World Humanoid Robots

Score-Based Causal Discovery of Latent Variable Causal Models

The Optimal Sample Complexity of PAC Learning

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Implicit Graph Neural Networks

Neural Transformation Learning for Deep Anomaly Detection Beyond Images

Aligning Language Models from User Interactions

On the generalization of language models from in-context learning and finetuning: a controlled study

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

TransformerFusion: Monocular RGB Scene Reconstruction using Transformers

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates

An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection

Temporal Straightening for Latent Planning

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention

Few-shot Text Classification with Distributional Signatures