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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13,681 to 13,740 of 20,205

Collaborative Deep Learning for Recommender Systems
Hao Wang, Naiyan Wang, Dit-Yan Yeung
cs.LGcs.CLcs.IRarXiv:1409.2944v22014
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li, Ziyang Tang +1
cs.LGcs.AIeess.SYarXiv:1810.12429v12018
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration
Ajay Sridhar, Dhruv Shah, Catherine Glossop +1
cs.ROcs.CVcs.LGarXiv:2310.07896v12023
MLPerf Training Benchmark
Peter Mattson, Christine Cheng, Cody Coleman +34
cs.LGcs.PFstat.MLarXiv:1910.01500v32019
GRAND: Graph Neural Diffusion
Benjamin Paul Chamberlain, James Rowbottom, Maria Gorinova +3
cs.LGstat.MLarXiv:2106.10934v22021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu, Xu Chen, Zhi Zhou +1
cs.NIcs.AIcs.DCarXiv:2012.07450v12020
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio, Éric Thibodeau-Laufer, Guillaume Alain +1
cs.LGarXiv:1306.1091v52013
Class-Incremental Learning: A Survey
Da-Wei Zhou, Qi-Wei Wang, Zhi-Hong Qi +3
cs.CVcs.LGarXiv:2302.03648v22023
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang, Babak Samari, Kaleem Siddiqi
cs.CVcs.LGarXiv:1803.05827v12018
SimCast-S2S: An Efficient Generative Model for Subseasonal Precipitation Forecasting via Transfer Learning from Climate Simulations
Hiep V. Dang, Antonios Mamalakis
cs.LGarXiv:2608.26594v12026
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu, Yan Kang, Tianyuan Zou +6
cs.LGcs.AIcs.CRarXiv:2211.12814v42022
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin +2
cs.LGstat.MLarXiv:1911.00219v32019
A Fully Convolutional Neural Network for Speech Enhancement
Se Rim Park, Jinwon Lee
cs.LGarXiv:1609.07132v12016
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia +1
cs.IRcs.LGarXiv:2302.08191v32023
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe +1
stat.MLcs.LGarXiv:1607.07519v12016
Design Space for Graph Neural Networks
Jiaxuan You, Rex Ying, Jure Leskovec
cs.LGcs.AIcs.SIarXiv:2011.08843v22020
A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Families
Yu Zhe, Yixin Tan, Junhao Wei +1
cs.LGcs.CLarXiv:2608.26506v12026
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti, Alex Beutel, Jilin Chen +5
cs.LGstat.MLarXiv:2006.13114v32020
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
Roy Or-El, Xuan Luo, Mengyi Shan +3
cs.CVcs.AIcs.GRarXiv:2112.11427v22021
Controllable Multi-Interest Framework for Recommendation
Yukuo Cen, Jianwei Zhang, Xu Zou +3
cs.IRcs.LGstat.MLarXiv:2005.09347v22020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Arthur Pesah, M. Cerezo, Samson Wang +3
quant-phcs.LGstat.MLarXiv:2011.02966v22020
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen +5
cs.LGcs.AIstat.MLarXiv:1907.00456v22019
Baidu Apollo EM Motion Planner
Haoyang Fan, Fan Zhu, Changchun Liu +7
cs.ROcs.AIcs.LGarXiv:1807.08048v12018
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Huy Phan, Fernando Andreotti, Navin Cooray +2
cs.LGstat.MLarXiv:1805.06546v32018
Tracking Emerges by Colorizing Videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi +2
cs.CVcs.GRcs.LGarXiv:1806.09594v22018
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley, Shabab Bazrafkan, Peter Corcoran
cs.AIcs.LGstat.MLarXiv:1703.08383v12017
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski, Helmut Bölcskei
cs.ITcs.AIcs.LGarXiv:1512.06293v32015
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang +5
cs.LGcs.AIcs.CLarXiv:2404.14618v12024
Decentralized Multitask Learning over Learned Task Graphs
Zirui Wan, Stefan Vlaski
cs.LGeess.SPeess.SYarXiv:2608.26989v12026
50 Years of Test (Un)fairness: Lessons for Machine Learning
Ben Hutchinson, Margaret Mitchell
cs.AIcs.LGarXiv:1811.10104v22018
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
stat.MLcs.AIcs.LGarXiv:2006.05078v32020
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman, Troy Luhman
cs.LGarXiv:2101.02388v12021
Diff Mining: Logit Differences Reveal Finetuning Objectives
Greg Kocher, Robert West, Clément Dumas +1
cs.LGcs.AIcs.CLarXiv:2608.26462v12026
The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare, Ivo Danihelka, Will Dabney +4
cs.LGstat.MLarXiv:1705.10743v12017
Convolutional Kernel Networks
Julien Mairal, Piotr Koniusz, Zaid Harchaoui +1
cs.CVcs.LGstat.MLarXiv:1406.3332v22014
Squeezing More from Limited Data with Recursive Transformers
Serdar Gülbahar, Lukas Edman, Alexander Fraser
cs.CLcs.LGarXiv:2608.26973v12026
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang +5
cs.CRcs.CYcs.DBarXiv:1907.00782v12019
Learning Individual Styles of Conversational Gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi +3
cs.CVcs.LGeess.ASarXiv:1906.04160v12019
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu, Qi Wang, Huichen Li +3
cs.AIcs.CRcs.LGarXiv:1910.03137v42019
Representation Measurements Under Function-Preserving Reparameterizations
Abdullah Karasan
stat.MLcs.LGarXiv:2608.27020v12026
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu, Yen-Cheng Liu, Anita Ramasamy +1
cs.LGcs.AIcs.CVarXiv:1810.12488v42018
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu, Shu-wen Yang, Po-Han Chi +2
eess.AScs.CLcs.LGarXiv:1910.12638v22019
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing, Gabriele Corso, Jeffrey Chang +2
physics.chem-phcs.LGq-bio.BMarXiv:2206.01729v22022
Active Curriculum Refinement for Reinforcement Learning
Zhenya Liu, Yuxin Chen
cs.LGarXiv:2608.26469v12026
Neural GPUs Learn Algorithms
Łukasz Kaiser, Ilya Sutskever
cs.LGcs.NEarXiv:1511.08228v32015
Summaries:한국어
Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar +1
cs.LGarXiv:1611.00429v32016
Deep Cosine Metric Learning for Person Re-Identification
Nicolai Wojke, Alex Bewley
cs.CVcs.LGarXiv:1812.00442v12018
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov +1
cs.NEcs.CLcs.LGarXiv:1702.08139v22017
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli +2
cs.LGstat.MLarXiv:1902.00434v12019
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
Xuejing Yuan, Yuxuan Chen, Yue Zhao +7
cs.CRcs.LGcs.SDarXiv:1801.08535v32018
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao +3
cs.CVcs.GRcs.LGarXiv:1910.12713v12019
Model Complexity of Deep Learning: A Survey
Xia Hu, Lingyang Chu, Jian Pei +2
cs.LGcs.AIarXiv:2103.05127v22021
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
Chen Tessler, Shahar Givony, Tom Zahavy +2
cs.AIcs.LGarXiv:1604.07255v32016
Algorithms for multi-armed bandit problems
Volodymyr Kuleshov, Doina Precup
cs.AIcs.LGarXiv:1402.6028v12014
Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs
Ranit Debnath Akash, Ashish Kumar, Gang Tan +1
cs.SEcs.AIcs.LGarXiv:2608.26209v12026
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model
Yibo Li, Liangren Zhang, Zhenming Liu
q-bio.QMcs.LGarXiv:1801.07299v32018
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke, Kimin Lee, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:2009.08319v32020
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang, Chaoli Zhang, Tian Zhou +2
cs.LGcs.AIarXiv:2306.10347v22023
Super-Samples from Kernel Herding
Yutian Chen, Max Welling, Alex Smola
cs.LGstat.MLarXiv:1203.3472v12012
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas, Morteza Mardani, Zongyi Li +3
cs.CVcs.LGarXiv:2111.13587v22021

Machine Learning

Collaborative Deep Learning for Recommender Systems

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

MLPerf Training Benchmark

GRAND: Graph Neural Diffusion

FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

Deep Generative Stochastic Networks Trainable by Backprop

Class-Incremental Learning: A Survey

Local Spectral Graph Convolution for Point Set Feature Learning

SimCast-S2S: An Efficient Generative Model for Subseasonal Precipitation Forecasting via Transfer Learning from Climate Simulations

Vertical Federated Learning: Concepts, Advances and Challenges

InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions

A Fully Convolutional Neural Network for Speech Enhancement

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Deepr: A Convolutional Net for Medical Records

Design Space for Graph Neural Networks

A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model Families

Fairness without Demographics through Adversarially Reweighted Learning

StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation

Controllable Multi-Interest Framework for Recommendation

Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Baidu Apollo EM Motion Planner

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Tracking Emerges by Colorizing Videos

Smart Augmentation - Learning an Optimal Data Augmentation Strategy

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Decentralized Multitask Learning over Learned Task Graphs

50 Years of Test (Un)fairness: Lessons for Machine Learning

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Diff Mining: Logit Differences Reveal Finetuning Objectives

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Convolutional Kernel Networks

Squeezing More from Limited Data with Recursive Transformers

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

Learning Individual Styles of Conversational Gesture

Detecting AI Trojans Using Meta Neural Analysis

Representation Measurements Under Function-Preserving Reparameterizations

Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

Torsional Diffusion for Molecular Conformer Generation

Active Curriculum Refinement for Reinforcement Learning

Neural GPUs Learn Algorithms

Distributed Mean Estimation with Limited Communication

Deep Cosine Metric Learning for Person Re-Identification

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Generalized Sliced Wasserstein Distances

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

Few-shot Video-to-Video Synthesis

Model Complexity of Deep Learning: A Survey

A Deep Hierarchical Approach to Lifelong Learning in Minecraft

Algorithms for multi-armed bandit problems

Fairness Invariants: A Relational Approach to Explaining and Mitigating Fairness Bugs

Multi-Objective De Novo Drug Design with Conditional Graph Generative Model

Decoupling Representation Learning from Reinforcement Learning

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Super-Samples from Kernel Herding

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers