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.

Search paper metadata (including unsummarized papers)

24,721 to 24,780 of 33,313

Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma
cs.LGstat.MLarXiv:1909.10155v22019
A Comprehensive Survey on Long Context Language Modeling
Jiaheng Liu, Dawei Zhu, Zhiqi Bai +34
cs.CLcs.LGarXiv:2503.17407v22025
Denoising Adversarial Autoencoders
Antonia Creswell, Anil Anthony Bharath
cs.CVcs.LGstat.MLarXiv:1703.01220v42017
Visualizing Data using GTSNE
Songting Shi
cs.LGcs.HCmath.OCarXiv:2108.01301v12021
The CLRS Algorithmic Reasoning Benchmark
Petar Veličković, Adrià Puigdomènech Badia, David Budden +5
cs.LGcs.DSstat.MLarXiv:2205.15659v22022
An Introduction to Deep Generative Modeling
Lars Ruthotto, Eldad Haber
cs.LGarXiv:2103.05180v22021
Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
Xianhang Li, Chen Huang, Chun-Liang Li +4
cs.LGcs.CVarXiv:2509.24317v12025
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang, Tian Zhou, Qingsong Wen +1
cs.LGcs.AIarXiv:2210.09693v22022
End-to-End Differentiable Proving
Tim Rocktäschel, Sebastian Riedel
cs.NEcs.AIcs.LGarXiv:1705.11040v22017
Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models
Tian Zhou, Beverly Jin, Xue Wang +6
cs.LGarXiv:2609.28208v12026
Fairness Through Computationally-Bounded Awareness
Michael P. Kim, Omer Reingold, Guy N. Rothblum
cs.LGcs.CCcs.DSarXiv:1803.03239v22018
Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action Models
Mikey Watts, Yuchen Cui
cs.ROcs.CLcs.LGarXiv:2610.10526v12026
TC-Next: Zero-Shot Multimodal Cyclone Forecasting
Zhe Wang, Sijie Chen, Yiming Luo +2
cs.LGcs.AIcs.CVarXiv:2609.02085v12026
Software Engineering Meets Deep Learning: A Mapping Study
Fabio Ferreira, Luciana Lourdes Silva, Marco Tulio Valente
cs.SEcs.LGarXiv:1909.11436v32019
Towards Unified Alignment Between Agents, Humans, and Environment
Zonghan Yang, An Liu, Zijun Liu +11
cs.AIcs.CLcs.LGarXiv:2402.07744v22024
TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
Yuanzhe Shen, Zisu Huang, Zhengyuan Wang +14
cs.AIcs.LGarXiv:2602.01675v12026
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg +5
cs.LGphysics.chem-phstat.MLarXiv:1703.00564v32017
Space-time Mixing Attention for Video Transformer
Adrian Bulat, Juan-Manuel Perez-Rua, Swathikiran Sudhakaran +2
cs.CVcs.AIcs.LGarXiv:2106.05968v22021
Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
Qi Sun, Can Wang, Jiaxiang Shang +2
cs.CVcs.GRcs.LGarXiv:2602.19089v12026
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110
cs.SCcs.LGcs.MSarXiv:1605.02688v12016
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste
cs.LGcs.AIcs.CVarXiv:1805.10123v42018
METIS: Mentoring Engine for Thoughtful Inquiry & Solutions
Abhinav Rajeev Kumar, Dhruv Trehan, Paras Chopra
cs.LGcs.AIarXiv:2601.13075v12026
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang, Stefanie Jegelka
stat.MLcs.LGmath.OCarXiv:1703.01968v32017
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets
Frederik Kratzert, Daniel Klotz, Guy Shalev +3
cs.LGstat.MLarXiv:1907.08456v22019
Kernel Mean Embedding of Distributions: A Review and Beyond
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur +1
stat.MLcs.LGarXiv:1605.09522v42016
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
cs.LGstat.MLarXiv:2009.05923v12020
Cephalonauts One: A deep fMRI dataset for decoding naturalistic speech in the human brain
Antoine Collas, Louis Jalouzot, Géraud Ilinca +11
cs.LGcs.AIarXiv:2610.03558v12026
Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User Intent
Zheyuan Zhang, Mengyuan Chao, Ke Xiao +5
cs.CLcs.AIcs.LGarXiv:2609.38604v12026
3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows
Vivian Liu, Jo Vermeulen, George Fitzmaurice +1
cs.HCcs.AIcs.CYarXiv:2210.11603v22022
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia +9
cs.LGcs.AIarXiv:2403.07718v52024
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona, Mathieu Laurière, Zongjun Tan
math.OCcs.LGarXiv:1910.12802v22019
Continuous Online Fault Detection for Mobile Robots via Adaptive Edge Models
Jordan Levy, Nicolas Verstaevel, Vincent Talon +1
cs.ROcs.LGarXiv:2609.29194v12026
Fairy2i: Training Complex LLMs from Real LLMs with All Parameters in $\{\pm 1, \pm i\}$
Feiyu Wang, Xinyu Tan, Bokai Huang +4
cs.LGcs.AIarXiv:2512.02901v32025
Oracle-Efficient and Parameter-Free Agnostic Smoothed Online Learning
Sasha Voitovych, Adam Block, Alexander Rakhlin +1
cs.LGstat.MLarXiv:2610.10499v12026
Diffusion Models, Image Super-Resolution And Everything: A Survey
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue +3
cs.CVcs.AIcs.LGarXiv:2401.00736v32024
Subspace Levenberg Marquardt Algorithms in Training Neural Networks
M. Duc Hoang
cs.LGmath.OCarXiv:2609.00789v12026
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon, Cengiz Pehlevan
stat.MLcond-mat.dis-nncs.LGarXiv:2205.09653v32022
Policy Gradients with Variance Related Risk Criteria
Dotan Di Castro, Aviv Tamar, Shie Mannor
cs.LGcs.CYmath.OCarXiv:1206.6404v12012
MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
Lukas Thede, Yash Kumar Atri, David Chen +4
cs.CLcs.LGarXiv:2609.38543v12026
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung +4
cs.LGcs.CVq-bio.NCarXiv:1802.08195v32018
From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring
Nicolas Vautier, Paul Caron, Nardi Xhepi +4
cs.LGcs.AIcs.DBarXiv:2609.39257v12026
A Tutorial on Principal Component Analysis
Jonathon Shlens
cs.LGstat.MLarXiv:1404.1100v12014
Video Probabilistic Diffusion Models in Projected Latent Space
Sihyun Yu, Kihyuk Sohn, Subin Kim +1
cs.CVcs.LGarXiv:2302.07685v22023
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
Thanh-Long V. Le, Myeongho Jeon, Kim Vu +2
cs.CLcs.AIcs.LGarXiv:2509.21880v32025
Deep Compressed Sensing
Yan Wu, Mihaela Rosca, Timothy Lillicrap
cs.LGeess.SPstat.MLarXiv:1905.06723v22019
Topological Autoencoders
Michael Moor, Max Horn, Bastian Rieck +1
cs.LGmath.ATstat.MLarXiv:1906.00722v52019
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy +1
cs.SEcs.LGarXiv:2009.05634v12020
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
Zijian Zhang, Rizhen Hu, Athanasios Glentis +4
cs.LGcs.CLarXiv:2607.01232v22026
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov +1
cs.CLcs.LGarXiv:1702.02206v22017
ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning
Ming Ma, Yi Zhu, Yiran Zhong +7
cs.LGcs.CLarXiv:2609.27532v22026
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld
cs.LGcs.CRarXiv:2109.08266v22021
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
cs.LGstat.MLarXiv:1404.4655v12014
DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge
Yiming Xie, Pinrui Yu, Geng Yuan +2
cs.LGarXiv:2608.27713v12026
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee, Annie S. Chen, Fahim Tajwar +4
cs.LGcs.AIarXiv:2210.11466v32022
Kernel-based methods for bandit convex optimization
Sébastien Bubeck, Ronen Eldan, Yin Tat Lee
cs.LGcs.DSmath.OCarXiv:1607.03084v12016
Backdooring Acoustic Foundation Models for Physically Realizable Triggers
Zebin Yun, Eyal Ronen, Mahmood Sharif
cs.SDcs.LGarXiv:2610.09819v12026
Generative sequence modeling for infinite memory processes via predictive states
Michael Wieck-Sosa, Cosma Rohilla Shalizi
stat.MLcs.LGstat.MEarXiv:2609.38524v12026
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak, Yasaman Bahri, Daniel A. Abolafia +2
stat.MLcs.AIcs.LGarXiv:1802.08760v32018
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky
cs.LGcs.CYarXiv:2205.04610v12022
CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning
Chao Feng, Burkhard Stiller
cs.LGcs.DCarXiv:2609.02450v12026

Machine Learning

Verified Uncertainty Calibration

A Comprehensive Survey on Long Context Language Modeling

Denoising Adversarial Autoencoders

Visualizing Data using GTSNE

The CLRS Algorithmic Reasoning Benchmark

An Introduction to Deep Generative Modeling

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

End-to-End Differentiable Proving

Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models

Fairness Through Computationally-Bounded Awareness

Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action Models

TC-Next: Zero-Shot Multimodal Cyclone Forecasting

Software Engineering Meets Deep Learning: A Mapping Study

Towards Unified Alignment Between Agents, Humans, and Environment

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios

MoleculeNet: A Benchmark for Molecular Machine Learning

Space-time Mixing Attention for Video Transformer

Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling

Theano: A Python framework for fast computation of mathematical expressions

TADAM: Task dependent adaptive metric for improved few-shot learning

METIS: Mentoring Engine for Thoughtful Inquiry & Solutions

Max-value Entropy Search for Efficient Bayesian Optimization

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

Kernel Mean Embedding of Distributions: A Review and Beyond

Contrastive Self-supervised Learning for Graph Classification

Cephalonauts One: A deep fMRI dataset for decoding naturalistic speech in the human brain

Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User Intent

3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

Continuous Online Fault Detection for Mobile Robots via Adaptive Edge Models

Fairy2i: Training Complex LLMs from Real LLMs with All Parameters in $\{\pm 1, \pm i\}$

Oracle-Efficient and Parameter-Free Agnostic Smoothed Online Learning

Diffusion Models, Image Super-Resolution And Everything: A Survey

Subspace Levenberg Marquardt Algorithms in Training Neural Networks

Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks

Policy Gradients with Variance Related Risk Criteria

MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring

A Tutorial on Principal Component Analysis

Video Probabilistic Diffusion Models in Projected Latent Space

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

Deep Compressed Sensing

Topological Autoencoders

Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Semi-Supervised QA with Generative Domain-Adaptive Nets

ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

Hierarchical Quasi-Clustering Methods for Asymmetric Networks

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

Kernel-based methods for bandit convex optimization

Backdooring Acoustic Foundation Models for Physically Realizable Triggers

Generative sequence modeling for infinite memory processes via predictive states

Sensitivity and Generalization in Neural Networks: an Empirical Study

Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning