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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20,761 to 20,820 of 33,811

Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong, Peter Zhang, Steve Li +3
cs.CLcs.AIcs.LGarXiv:2302.14233v22023
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu +2
stat.MLcs.LGmath.OCarXiv:1905.00877v62019
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao +5
cs.IRcs.LGarXiv:2008.07873v12020
Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
Zhen Yang, Zi-Yi Dou, Di Feng +13
cs.CVcs.CLcs.LGarXiv:2509.26539v12025
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah Goodman
cs.LGstat.MLarXiv:1802.05335v32018
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu +5
cs.AIcs.LGarXiv:2110.01167v22021
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi +3
cs.LGcs.AIquant-pharXiv:1907.00397v32019
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
cs.LGstat.MLarXiv:2007.03511v12020
Generalized Fisher Score for Feature Selection
Quanquan Gu, Zhenhui Li, Jiawei Han
cs.LGstat.MLarXiv:1202.3725v12012
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Dmitry Lepikhin, HyoukJoong Lee, Yuanzhong Xu +6
cs.CLcs.LGstat.MLarXiv:2006.16668v12020
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity
Byungseok Roh, JaeWoong Shin, Wuhyun Shin +1
cs.CVcs.LGarXiv:2111.14330v22021
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere +6
eess.AScs.CLcs.LGarXiv:1910.06711v32019
Learning a Natural Language Interface with Neural Programmer
Arvind Neelakantan, Quoc V. Le, Martin Abadi +2
cs.CLcs.LGstat.MLarXiv:1611.08945v42016
Why does deep and cheap learning work so well?
Henry W. Lin, Max Tegmark, David Rolnick
cond-mat.dis-nncs.LGcs.NEarXiv:1608.08225v42016
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu, Qi Li, Xinchao Wang
cs.LGcs.AIarXiv:2506.13759v52025
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie +6
cs.LGcs.AIcs.CRarXiv:2012.10544v42020
12-in-1: Multi-Task Vision and Language Representation Learning
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach +2
cs.CVcs.CLcs.LGarXiv:1912.02315v22019
Multiple Identifications in Multi-Armed Bandits
Sébastien Bubeck, Tengyao Wang, Nitin Viswanathan
cs.LGstat.MLarXiv:1205.3181v12012
3D-LaneNet: End-to-End 3D Multiple Lane Detection
Noa Garnett, Rafi Cohen, Tomer Pe'er +2
cs.CVcs.LGcs.ROarXiv:1811.10203v32018
Boosting Adversarial Attacks with Momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang +4
cs.LGstat.MLarXiv:1710.06081v32017
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu, Marco Galindo, Hongxia Xie +4
cs.CVcs.LGarXiv:2404.07236v22024
Top-K Off-Policy Correction for a REINFORCE Recommender System
Minmin Chen, Alex Beutel, Paul Covington +3
cs.LGcs.IRstat.MLarXiv:1812.02353v32018
A Model for Learned Bloom Filters, and Optimizing by Sandwiching
Michael Mitzenmacher
cs.LGcs.DBstat.MLarXiv:1901.00902v12019
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't
Weinan E, Chao Ma, Stephan Wojtowytsch +1
cs.LGmath.NAstat.MLarXiv:2009.10713v32020
Sharpness-Aware Machine Unlearning
Haoran Tang, Rajiv Khanna
cs.LGarXiv:2506.13715v32025
Neural Packet Classification
Eric Liang, Hang Zhu, Xin Jin +1
cs.NIcs.AIcs.LGarXiv:1902.10319v12019
RL's Razor: Why Online Reinforcement Learning Forgets Less
Idan Shenfeld, Jyothish Pari, Pulkit Agrawal
cs.LGarXiv:2509.04259v12025
Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti, Nils Feldhus, Ludwig Sickert +3
cs.CLcs.AIcs.HCarXiv:2302.13942v32023
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan +5
cs.CLcs.AIcs.LGarXiv:1912.02164v42019
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
cs.LGstat.MLarXiv:2012.08791v22020
WRPN: Wide Reduced-Precision Networks
Asit Mishra, Eriko Nurvitadhi, Jeffrey J Cook +1
cs.CVcs.LGcs.NEarXiv:1709.01134v12017
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Amy X. Zhang, Michael Muller, Dakuo Wang
cs.HCcs.AIcs.LGarXiv:2001.06684v32020
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Tianqi Wang, Sukmin Kim, Wenxuan Ji +5
cs.CVcs.LGcs.ROarXiv:2304.01168v52023
Poisoning Behavioral Malware Clustering
Battista Biggio, Konrad Rieck, Davide Ariu +4
cs.LGcs.CRstat.MLarXiv:1811.09985v12018
Simplifying approach to Node Classification in Graph Neural Networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
stat.MLcs.LGarXiv:2111.06748v12021
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim +3
cs.CVcs.LGarXiv:2403.02944v22024
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
cs.LGcs.CVcs.ITarXiv:1901.07821v42019
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy +2
cs.LGcs.AIcs.CVarXiv:1712.03931v12017
Deep Exponential Families
Rajesh Ranganath, Linpeng Tang, Laurent Charlin +1
stat.MLcs.LGarXiv:1411.2581v12014
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain +1
cs.LGcs.AIstat.MLarXiv:2009.07888v72020
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Henrique Siqueira, Sven Magg, Stefan Wermter
cs.CVcs.LGstat.MLarXiv:2001.06338v12020
Mirror Descent Policy Optimization
Manan Tomar, Lior Shani, Yonathan Efroni +1
cs.LGcs.AIstat.MLarXiv:2005.09814v52020
Synthesizing Tabular Data using Generative Adversarial Networks
Lei Xu, Kalyan Veeramachaneni
cs.LGstat.MLarXiv:1811.11264v12018
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao +2
cs.LGcs.SIstat.MLarXiv:1909.01541v42019
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, Jacob Hilton +1
cs.LGstat.MLarXiv:1912.01588v22019
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai, Suhang Wang
cs.LGarXiv:2009.01454v52020
Topological Necessities: Mechanism-Invariant Strategic Subgoals for Cross-Embodiment Goal-Conditioned Control
Hao Shi, Xi Li
cs.LGcs.AIcs.ROarXiv:2609.11014v12026
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu, Tri Dao, Stefano Ermon +2
cs.LGstat.MLarXiv:2008.07669v22020
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed, Christian Omlin
cs.LGcs.AIarXiv:2111.06420v12021
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré +1
cs.CLcs.AIcs.HCarXiv:1901.05415v42019
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni +4
cs.CVcs.LGarXiv:1912.01805v12019
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai, Lina Yao, Can Li +2
cs.LGstat.MLarXiv:2007.02842v22020
ResNet strikes back: An improved training procedure in timm
Ross Wightman, Hugo Touvron, Hervé Jégou
cs.CVcs.LGarXiv:2110.00476v12021
Enhanced Convolutional Neural Tangent Kernels
Zhiyuan Li, Ruosong Wang, Dingli Yu +4
cs.LGcs.CVcs.NEarXiv:1911.00809v12019
Efficient Attention: Attention with Linear Complexities
Zhuoran Shen, Mingyuan Zhang, Haiyu Zhao +2
cs.CVcs.AIcs.LGarXiv:1812.01243v102018
Learning explanations that are hard to vary
Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto +2
cs.LGstat.MLarXiv:2009.00329v32020
Neural Subgraph Matching
Rex, Ying, Zhaoyu Lou +4
cs.LGstat.MLarXiv:2007.03092v22020
Deep Learning for Symbolic Mathematics
Guillaume Lample, François Charton
cs.SCcs.LGarXiv:1912.01412v12019
On the Privacy Risks of Algorithmic Fairness
Hongyan Chang, Reza Shokri
stat.MLcs.CRcs.CYarXiv:2011.03731v42020
Unmasking DeepFakes with simple Features
Ricard Durall, Margret Keuper, Franz-Josef Pfreundt +1
cs.LGcs.CVstat.MLarXiv:1911.00686v32019

Machine Learning

Goal Driven Discovery of Distributional Differences via Language Descriptions

You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents

Multimodal Generative Models for Scalable Weakly-Supervised Learning

Trustworthy AI: From Principles to Practices

Variational Quantum Circuits for Deep Reinforcement Learning

Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

Generalized Fisher Score for Feature Selection

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Learning a Natural Language Interface with Neural Programmer

Why does deep and cheap learning work so well?

Discrete Diffusion in Large Language and Multimodal Models: A Survey

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

12-in-1: Multi-Task Vision and Language Representation Learning

Multiple Identifications in Multi-Armed Bandits

3D-LaneNet: End-to-End 3D Multiple Lane Detection

Boosting Adversarial Attacks with Momentum

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Top-K Off-Policy Correction for a REINFORCE Recommender System

A Model for Learned Bloom Filters, and Optimizing by Sandwiching

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't

Sharpness-Aware Machine Unlearning

Neural Packet Classification

RL's Razor: Why Online Reinforcement Learning Forgets Less

Inseq: An Interpretability Toolkit for Sequence Generation Models

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

WRPN: Wide Reduced-Precision Networks

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving

Poisoning Behavioral Malware Clustering

Simplifying approach to Node Classification in Graph Neural Networks

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity

Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

Deep Exponential Families

Transfer Learning in Deep Reinforcement Learning: A Survey

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Mirror Descent Policy Optimization

Synthesizing Tabular Data using Generative Adversarial Networks

Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Topological Necessities: Mechanism-Invariant Strategic Subgoals for Cross-Embodiment Goal-Conditioned Control

HiPPO: Recurrent Memory with Optimal Polynomial Projections

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Adversarial Domain Adaptation with Domain Mixup

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

ResNet strikes back: An improved training procedure in timm

Enhanced Convolutional Neural Tangent Kernels

Efficient Attention: Attention with Linear Complexities

Learning explanations that are hard to vary

Neural Subgraph Matching

Deep Learning for Symbolic Mathematics

On the Privacy Risks of Algorithmic Fairness

Unmasking DeepFakes with simple Features