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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18,841 to 18,900 of 20,199

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
Summaries:한국어
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
Hindsight Experience Replay
Marcin Andrychowicz, Filip Wolski, Alex Ray +7
cs.LGcs.AIcs.NEarXiv:1707.01495v32017
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
Hyeongwon Jang, Gyouk Chu, Changhun Kim +3
cs.LGcs.AIcs.CLarXiv:2606.09030v12026
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
cs.CVcs.LGarXiv:1511.04491v22015
Event-based Vision: A Survey
Guillermo Gallego, Tobi Delbruck, Garrick Orchard +8
cs.CVcs.AIcs.LGarXiv:1904.08405v32019
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong, Jaehyeon Kim, Jaekyoung Bae
cs.SDcs.LGeess.ASarXiv:2010.05646v22020
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long, Han Zhu, Jianmin Wang +1
cs.LGstat.MLarXiv:1605.06636v22016
Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey Gritsenko +3
cs.CVcs.AIcs.LGarXiv:2204.03458v22022
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals +3
cs.CVcs.LGarXiv:1606.05328v22016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma, Eduard Hovy
cs.LGcs.CLstat.MLarXiv:1603.01354v52016
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
cs.LGarXiv:1004.2316v22010
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi +1
cs.CVcs.AIcs.LGarXiv:1610.08401v32016
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu, Jianguo Li, Zhiqiang Shen +3
cs.CVcs.AIcs.LGarXiv:1708.06519v12017
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon +4
cs.CVcs.CLcs.GRarXiv:2208.01618v12022
Pixel Recurrent Neural Networks
Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
cs.CVcs.LGcs.NEarXiv:1601.06759v32016

Machine Learning

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

Hindsight Experience Replay

TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs

Deeply-Recursive Convolutional Network for Image Super-Resolution

Event-based Vision: A Survey

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Deep Transfer Learning with Joint Adaptation Networks

Video Diffusion Models

Conditional Image Generation with PixelCNN Decoders

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Self-training with Noisy Student improves ImageNet classification

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Universal adversarial perturbations

Learning Efficient Convolutional Networks through Network Slimming

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Pixel Recurrent Neural Networks