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)

19,081 to 19,140 of 20,454

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
Itay Elam, Eliron Rahimi, Avi Mendelson +1
cs.LGarXiv:2606.07881v12026
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho +2
cs.LGcs.NEstat.MLarXiv:1606.01865v22016
Chiaroscuro Attention: Spending Compute in the Dark
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.08327v22026
Generating Sentences from a Continuous Space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals +3
cs.LGcs.CLarXiv:1511.06349v42015
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu, Swaroop Mishra, Tony Xia +6
cs.CLcs.AIcs.CVarXiv:2209.09513v22022
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M Cohen, Elan Rosenfeld, J. Zico Kolter
cs.LGstat.MLarXiv:1902.02918v22019
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis +7
cs.CLcs.LGarXiv:1912.06670v22019
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang, Phillip Isola
cs.LGcs.CVstat.MLarXiv:2005.10242v102020
Methods for Interpreting and Understanding Deep Neural Networks
Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
cs.LGstat.MLarXiv:1706.07979v12017
When Behavioral Safety Evaluation Fails: A Representation-Level Perspective
Enyi Jiang, Anders Gjølbye, Yibo Jacky Zhang +1
cs.LGcs.AIcs.CLarXiv:2606.08044v22026
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit +5
stat.MLcs.LGarXiv:1806.08734v32018
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying, Jiaxuan You, Christopher Morris +3
cs.LGcs.NEcs.SIarXiv:1806.08804v42018
Phase Marginalization for Patch-Grid Instability in Vision Transformers
Oğuzhan Ercan
cs.CVcs.LGarXiv:2606.08132v12026
A Comparative Analysis of XGBoost
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
cs.LGstat.MLarXiv:1911.01914v12019
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
cs.LGarXiv:1603.08861v22016
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly +3
cs.CVcs.LGstat.MLarXiv:1810.03292v32018
PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
Suraj Ranganath, Anish Raghavendra
cs.LGcs.AIcs.DBarXiv:2606.08481v12026
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
cs.CLcs.AIcs.CYarXiv:2206.04615v32022
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
Guillaume Lemaitre, Fernando Nogueira, Christos K. Aridas
cs.LGarXiv:1609.06570v12016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
cs.LGcs.AIarXiv:1609.05473v62016
End-to-End Context Compression at Scale
Ang Li, Sean McLeish, Haozhe Chen +12
cs.CLcs.AIcs.LGarXiv:2606.09659v12026
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi
cs.LGcs.CVstat.MLarXiv:1710.08864v72017
Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation
Siyuan Liu, Jinyang Wu
cs.AIcs.CLcs.CVarXiv:2606.09131v12026
MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
Ishaan Preetam Chandratreya, David Charatan, Basile Van Hoorick +4
cs.CVcs.LGarXiv:2606.09056v12026
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan +3
eess.IVcs.CVcs.LGarXiv:2104.07636v22021
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg +5
cs.LGphysics.chem-phstat.MLarXiv:1703.00564v32017
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan, Noah Brown, Justice Carbajal +48
cs.ROcs.AIcs.CLarXiv:2212.06817v22022
Generating Long Sequences with Sparse Transformers
Rewon Child, Scott Gray, Alec Radford +1
cs.LGstat.MLarXiv:1904.10509v12019
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu +5
cs.CLcs.LGstat.MLarXiv:1909.08593v22019
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert +9
cs.LGstat.MLarXiv:1911.08265v22019
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain +9
cs.LGcs.AIcs.CVarXiv:2011.06225v42020
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han, Quanming Yao, Xingrui Yu +5
cs.LGstat.MLarXiv:1804.06872v32018
Multimodal Unsupervised Image-to-Image Translation
Xun Huang, Ming-Yu Liu, Serge Belongie +1
cs.CVcs.LGstat.MLarXiv:1804.04732v22018
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine, Aviral Kumar, George Tucker +1
cs.LGcs.AIstat.MLarXiv:2005.01643v32020
Attention-based Deep Multiple Instance Learning
Maximilian Ilse, Jakub M. Tomczak, Max Welling
cs.LGstat.MLarXiv:1802.04712v42018
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
cs.LGcs.CVcs.NEarXiv:1502.04681v32015
On First-Order Meta-Learning Algorithms
Alex Nichol, Joshua Achiam, John Schulman
cs.LGarXiv:1803.02999v32018
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava, Abhinav Gupta, Ross Girshick
cs.CVcs.LGarXiv:1604.03540v12016
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, Yoshua Bengio
cs.LGarXiv:1410.8516v62014
A Critical Review of Recurrent Neural Networks for Sequence Learning
Zachary C. Lipton, John Berkowitz, Charles Elkan
cs.LGcs.NEarXiv:1506.00019v42015
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng +6
cs.CLcs.LGarXiv:2007.15779v62020
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel, Joseph Modayil, Hado van Hasselt +7
cs.AIcs.LGarXiv:1710.02298v12017
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce +1
stat.MLcs.LGmath.OCarXiv:0908.0050v22009
SmoothGrad: removing noise by adding noise
Daniel Smilkov, Nikhil Thorat, Been Kim +2
cs.LGcs.CVstat.MLarXiv:1706.03825v12017
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie, Zihang Dai, Eduard Hovy +2
cs.LGcs.AIcs.CLarXiv:1904.12848v62019
Deep Networks with Stochastic Depth
Gao Huang, Yu Sun, Zhuang Liu +2
cs.LGcs.CVcs.NEarXiv:1603.09382v32016
Decoupled Weight Decay Regularization
Ilya Loshchilov, Frank Hutter
cs.LGcs.NEmath.OCarXiv:1711.05101v32017
A Tutorial on Principal Component Analysis
Jonathon Shlens
cs.LGstat.MLarXiv:1404.1100v12014
Meta-Learning in Neural Networks: A Survey
Timothy Hospedales, Antreas Antoniou, Paul Micaelli +1
cs.LGstat.MLarXiv:2004.05439v22020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2003.09871v42020
Probabilistic Circuits as Reasoning Machines in Artificial Intelligence (Part I)
Robert Peharz
cs.AIcs.LGmath.PRarXiv:2608.16565v12026
Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
Jialin Lu, Soonho Kong, Rodrigo Stehling +4
cs.LOcs.AIcs.CLarXiv:2605.20244v22026
Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short
Han Zhou, Adam X. Yang, Laurence Aitchison +2
cs.LGcs.AIcs.CLarXiv:2606.09380v12026
BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling
Gianluca Barmina, Annemette Broch Pirchert, Andrea Blasi Núñez +2
cs.LGcs.CLarXiv:2606.09707v12026
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
Nikita Koriagin, Georgii Aparin, Nikita Balagansky +1
cs.LGcs.AIcs.CLarXiv:2606.10029v12026
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
Yunho Choi, Jongwon Lim, Woojin Ahn +3
cs.LGcs.AIcs.CLarXiv:2605.07579v22026
Attention-Based Models for Speech Recognition
Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk +2
cs.CLcs.LGcs.NEarXiv:1506.07503v12015

Machine Learning

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Chiaroscuro Attention: Spending Compute in the Dark

Generating Sentences from a Continuous Space

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Big Self-Supervised Models are Strong Semi-Supervised Learners

Certified Adversarial Robustness via Randomized Smoothing

Common Voice: A Massively-Multilingual Speech Corpus

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Methods for Interpreting and Understanding Deep Neural Networks

When Behavioral Safety Evaluation Fails: A Representation-Level Perspective

On the Spectral Bias of Neural Networks

Hierarchical Graph Representation Learning with Differentiable Pooling

Phase Marginalization for Patch-Grid Instability in Vision Transformers

A Comparative Analysis of XGBoost

Revisiting Semi-Supervised Learning with Graph Embeddings

Sanity Checks for Saliency Maps

PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

End-to-End Context Compression at Scale

One pixel attack for fooling deep neural networks

Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Image Super-Resolution via Iterative Refinement

MoleculeNet: A Benchmark for Molecular Machine Learning

RT-1: Robotics Transformer for Real-World Control at Scale

Generating Long Sequences with Sparse Transformers

Fine-Tuning Language Models from Human Preferences

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Multimodal Unsupervised Image-to-Image Translation

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Attention-based Deep Multiple Instance Learning

Unsupervised Learning of Video Representations using LSTMs

On First-Order Meta-Learning Algorithms

Training Region-based Object Detectors with Online Hard Example Mining

NICE: Non-linear Independent Components Estimation

A Critical Review of Recurrent Neural Networks for Sequence Learning

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Rainbow: Combining Improvements in Deep Reinforcement Learning

Online Learning for Matrix Factorization and Sparse Coding

SmoothGrad: removing noise by adding noise

Unsupervised Data Augmentation for Consistency Training

Deep Networks with Stochastic Depth

Decoupled Weight Decay Regularization

A Tutorial on Principal Component Analysis

Meta-Learning in Neural Networks: A Survey

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Probabilistic Circuits as Reasoning Machines in Artificial Intelligence (Part I)

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search

Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short

BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling

Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Attention-Based Models for Speech Recognition