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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18,781 to 18,840 of 20,205

Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
cs.LGcs.AIstat.MLarXiv:1605.05273v42016
Pre-Trained Image Processing Transformer
Hanting Chen, Yunhe Wang, Tianyu Guo +7
cs.CVcs.LGarXiv:2012.00364v42020
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt +1
cs.CVcs.LGstat.MLarXiv:1902.10811v22019
Building high-level features using large scale unsupervised learning
Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga +5
cs.LGarXiv:1112.6209v52011
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4
cs.CLcs.AIcs.LGarXiv:1703.03130v12017
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang +4
cs.CVcs.LGeess.IVarXiv:1912.13192v22019
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu +3
cs.CVcs.LGcs.ROarXiv:1912.12033v22019
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao, Adam Fisch, Danqi Chen
cs.CLcs.LGarXiv:2012.15723v22020
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou, Chengru Song, Xiaoqiang Zhu +7
stat.MLcs.LGarXiv:1706.06978v42017
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin, Yair Rivenson, Nezih T. Yardimci +3
cs.NEcs.LGphysics.comp-pharXiv:1804.08711v22018
Linformer: Self-Attention with Linear Complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa +2
cs.LGstat.MLarXiv:2006.04768v32020
Link Prediction Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
cs.LGstat.MLarXiv:1802.09691v32018
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Elias Frantar, Saleh Ashkboos, Torsten Hoefler +1
cs.LGarXiv:2210.17323v22022
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende +2
stat.MLcs.LGarXiv:1912.02762v22019
Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4
cs.LGcs.AIcs.ROarXiv:2002.00444v22020
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen, Saining Xie, Kaiming He
cs.CVcs.LGarXiv:2104.02057v42021
When Does Label Smoothing Help?
Rafael Müller, Simon Kornblith, Geoffrey Hinton
cs.LGstat.MLarXiv:1906.02629v32019
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.CLarXiv:2203.05557v22022
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim, Bokyung Son, Ildoo Kim
stat.MLcs.LGarXiv:2102.03334v22021
Adversarial Autoencoders
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly +2
cs.LGarXiv:1511.05644v22015
Visualizing the Loss Landscape of Neural Nets
Hao Li, Zheng Xu, Gavin Taylor +2
cs.LGcs.CVstat.MLarXiv:1712.09913v32017
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
cs.LGarXiv:1206.5533v22012
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, Yonglong Tian +3
cs.LGcs.AIcs.CVarXiv:1806.03536v22018
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang +2
cs.CLcs.AIcs.LGarXiv:2310.11511v12023
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals
cs.LGcs.CVstat.MLarXiv:1906.00446v12019
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran +6
cs.LGcs.AIarXiv:2106.01345v22021
A Tutorial on Bayesian Optimization
Peter I. Frazier
stat.MLcs.LGmath.OCarXiv:1807.02811v12018
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, Philip Bachman +3
cs.LGstat.MLarXiv:1709.06560v32017
Group Equivariant Convolutional Networks
Taco S. Cohen, Max Welling
cs.LGstat.MLarXiv:1602.07576v32016
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta, Mohammad Rastegari
cs.CVcs.AIcs.LGarXiv:2110.02178v22021
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang, Yu Zheng, Dekang Qi
cs.AIcs.LGarXiv:1610.00081v22016
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks, Steven Basart, Norman Mu +10
cs.CVcs.LGstat.MLarXiv:2006.16241v32020
Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path
Thomas Sesmat, Gabriel Meseguer-Brocal, Geoffroy Peeters
cs.LGcs.AIcs.SDarXiv:2606.07271v32026
Learning Structured Sparsity in Deep Neural Networks
Wei Wen, Chunpeng Wu, Yandan Wang +2
cs.NEcs.LGstat.MLarXiv:1608.03665v42016
Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le +1
cs.CLcs.LGcs.NEarXiv:1508.01211v22015
Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher +2
stat.MLcs.CVcs.LGarXiv:1409.5185v22014
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein +2
cs.CVcs.LGarXiv:1703.05921v12017
How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling
Jinju Lee
cs.SDcs.LGarXiv:2606.07334v42026
Similarity of Neural Network Representations Revisited
Simon Kornblith, Mohammad Norouzi, Honglak Lee +1
cs.LGq-bio.NCstat.MLarXiv:1905.00414v42019
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang +5
cs.CLcs.AIcs.LGarXiv:1909.10351v52019
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding, Xiangyu Zhang, Ningning Ma +3
cs.CVcs.AIcs.LGarXiv:2101.03697v32021
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly +1
cs.LGcs.CLcs.CVarXiv:1506.03099v32015
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov +4
cs.CLcs.LGarXiv:1506.06726v12015
Robotic Policy Adaptation via Weight-Space Meta-Learning
Christian Bianchi, Siamak Yousefi, Alessio Sampieri +4
cs.ROcs.CVcs.LGarXiv:2606.07217v12026
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang +3
eess.IVcs.CVcs.LGarXiv:2201.01266v12022
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
cs.AIcs.LGstat.MLarXiv:1710.03740v32017
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu, Tengge Hu, Yong Liu +3
cs.LGarXiv:2210.02186v32022
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce, Matthias Hein
cs.LGcs.CVstat.MLarXiv:2003.01690v22020
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Zequn Xie, Junjie Wang, Dan Yang +4
cs.LGcs.AIarXiv:2606.07074v12026
SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
Ernests Lavrinovics, Marco Letizia, Roy Janco +3
cs.CLcs.LGarXiv:2606.07098v12026
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

Machine Learning

Learning Convolutional Neural Networks for Graphs

Pre-Trained Image Processing Transformer

Do ImageNet Classifiers Generalize to ImageNet?

Building high-level features using large scale unsupervised learning

A Structured Self-attentive Sentence Embedding

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Deep Learning for 3D Point Clouds: A Survey

Making Pre-trained Language Models Better Few-shot Learners

Deep Interest Network for Click-Through Rate Prediction

All-Optical Machine Learning Using Diffractive Deep Neural Networks

Linformer: Self-Attention with Linear Complexity

Link Prediction Based on Graph Neural Networks

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Normalizing Flows for Probabilistic Modeling and Inference

Deep Reinforcement Learning for Autonomous Driving: A Survey

An Empirical Study of Training Self-Supervised Vision Transformers

When Does Label Smoothing Help?

Conditional Prompt Learning for Vision-Language Models

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Adversarial Autoencoders

Visualizing the Loss Landscape of Neural Nets

Practical recommendations for gradient-based training of deep architectures

Representation Learning on Graphs with Jumping Knowledge Networks

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Generating Diverse High-Fidelity Images with VQ-VAE-2

Decision Transformer: Reinforcement Learning via Sequence Modeling

A Tutorial on Bayesian Optimization

Deep Reinforcement Learning that Matters

Group Equivariant Convolutional Networks

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation Path

Learning Structured Sparsity in Deep Neural Networks

Listen, Attend and Spell

Deeply-Supervised Nets

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling

Similarity of Neural Network Representations Revisited

Continual Learning with Deep Generative Replay

TinyBERT: Distilling BERT for Natural Language Understanding

RepVGG: Making VGG-style ConvNets Great Again

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Skip-Thought Vectors

Robotic Policy Adaptation via Weight-Space Meta-Learning

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Mixed Precision Training

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices

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