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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18,121 to 18,180 of 20,198

Gradient Descent Finds Global Minima of Deep Neural Networks
Simon S. Du, Jason D. Lee, Haochuan Li +2
cs.LGcs.AIcs.CVarXiv:1811.03804v42018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei, Maya Kabkab, Rama Chellappa
cs.CVcs.LGstat.MLarXiv:1805.06605v22018
Discovering Reinforcement Learning Interfaces with Large Language Models
Akshat Singh Jaswal, Ashish Baghel, Paras Chopra
cs.LGcs.AIarXiv:2605.03408v12026
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt +7
cs.LGcs.MAstat.MLarXiv:1902.04043v52019
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang +3
cs.CVcs.CLcs.LGarXiv:1412.6632v52014
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner, Amir Akbarnejad, Stephan Günnemann
stat.MLcs.CRcs.LGarXiv:1805.07984v42018
APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music
Jaavid Aktar Husain, Dorien Herremans
cs.SDcs.AIcs.LGarXiv:2605.03395v22026
Characterizing possible failure modes in physics-informed neural networks
Aditi S. Krishnapriyan, Amir Gholami, Shandian Zhe +2
cs.LGcs.AImath.NAarXiv:2109.01050v22021
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak, Shashank Subramanian, Peter Harrington +10
physics.ao-phcs.LGarXiv:2202.11214v12022
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
cs.LGcs.NEstat.MLarXiv:1909.00590v52019
Local SGD Converges Fast and Communicates Little
Sebastian U. Stich
math.OCcs.DCcs.LGarXiv:1805.09767v32018
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner, Justin Fu, Marvin Zhang +1
cs.LGcs.AIstat.MLarXiv:1906.08253v32019
What is the State of Neural Network Pruning?
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle +1
cs.LGstat.MLarXiv:2003.03033v12020
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
cs.CVcs.GRcs.LGarXiv:2111.14818v22021
Semi-supervised Sequence Learning
Andrew M. Dai, Quoc V. Le
cs.LGcs.CLarXiv:1511.01432v12015
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi +4
cs.LGcs.CRcs.CVarXiv:1804.00792v22018
A Reductions Approach to Fair Classification
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík +2
cs.LGarXiv:1803.02453v32018
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni, Karthik R. Narasimhan, Ardavan Saeedi +1
cs.LGcs.AIcs.CVarXiv:1604.06057v22016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu, Dilin Wang
stat.MLcs.LGarXiv:1608.04471v32016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang, Byron Wallace
cs.CLcs.LGcs.NEarXiv:1510.03820v42015
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion +1
cs.LGcs.CRcs.CVarXiv:1912.00049v32019
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
cs.LGcs.CVstat.MLarXiv:1806.08342v12018
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro, Pedro H. P. Savarese, Daniel R. Figueiredo
cs.SIcs.LGstat.MLarXiv:1704.03165v32017
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu +1
cs.CVcs.GRcs.LGarXiv:1907.11922v22019
Matrix Completion from a Few Entries
Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh
cs.LGstat.MLarXiv:0901.3150v42009
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Shunyu Yao, Howard Chen, John Yang +1
cs.CLcs.AIcs.LGarXiv:2207.01206v42022
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual, Antonio Bonafonte, Joan Serrà
cs.LGcs.NEcs.SDarXiv:1703.09452v32017
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma, Zhuang Dai, Zhengbing He +3
cs.LGstat.MLarXiv:1701.04245v42017
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà, Dídac Surís, Marius Miron +1
cs.LGcs.AIcs.NEarXiv:1801.01423v32018
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1703.00443v52017
Mastering Atari with Discrete World Models
Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi +1
cs.LGcs.AIstat.MLarXiv:2010.02193v42020
Metrics for Multi-Class Classification: an Overview
Margherita Grandini, Enrico Bagli, Giorgio Visani
stat.MLcs.LGarXiv:2008.05756v12020
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
cs.LGstat.MLarXiv:1709.05206v12017
When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels
Sushant Gautam, Finn Schwall, Annika Willoch Olstad +6
cs.LGcs.AIcs.CLarXiv:2605.06652v12026
Towards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui +1
cs.LGcs.AIcs.DCarXiv:2103.00710v32021
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
Hao Dong, Hongzhao Li, Shupan Li +3
cs.CVcs.AIcs.LGarXiv:2605.06643v12026
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng, Hao Chen
cs.CRcs.LGarXiv:1705.09064v22017
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Xiangyu Qi, Yi Zeng, Tinghao Xie +4
cs.CLcs.AIcs.CRarXiv:2310.03693v12023
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Aravind Srinivas, Michael Laskin, Pieter Abbeel
cs.LGcs.CVstat.MLarXiv:2004.04136v42020
Deep Gaussian Processes
Andreas C. Damianou, Neil D. Lawrence
stat.MLcs.LGmath.PRarXiv:1211.0358v22012
A Closed-Form Upper Bound for Admissible Learning-Rate Steps in Belief-Space Dynamics
Zixi Li, Youzhen Li
cs.LGarXiv:2605.06741v12026
AI Feynman: a Physics-Inspired Method for Symbolic Regression
Silviu-Marian Udrescu, Max Tegmark
physics.comp-phcs.AIcs.LGarXiv:1905.11481v22019
TIDE: Every Layer Knows the Token Beneath the Context
Ajay Jaiswal, Lauren Hannah, Han-Byul Kim +3
cs.CLcs.AIcs.LGarXiv:2605.06216v12026
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
Langlin Huang, Chengsong Huang, Jinyuan Li +3
cs.AIcs.CLcs.LGarXiv:2605.05566v12026
Empirical Evidence for Simply Connected Decision Regions in Image Classifiers
Arjhun Swaminathan, Mete Akgün
cs.CVcs.LGarXiv:2605.06380v12026
PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
Minghao Yan, Bo Peng, Benjamin Coleman +11
cs.LGarXiv:2605.07039v12026
Mastering Diverse Domains through World Models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba +1
cs.AIcs.LGstat.MLarXiv:2301.04104v22023
Graph U-Nets
Hongyang Gao, Shuiwang Ji
cs.LGstat.MLarXiv:1905.05178v12019
LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVcs.LGcs.MMarXiv:2605.06628v12026
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki +4
cs.LGcs.NEarXiv:1611.05397v12016
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry +2
cs.LGarXiv:1602.02830v32016
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu, George Tucker +1
cs.LGstat.MLarXiv:1906.00949v22019
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner, Yilun Du, Joshua B. Tenenbaum +1
cs.LGcs.AIarXiv:2205.09991v22022
Learning Sparse Neural Networks through $L_0$ Regularization
Christos Louizos, Max Welling, Diederik P. Kingma
stat.MLcs.LGarXiv:1712.01312v22017
Adversarially Learned Inference
Vincent Dumoulin, Ishmael Belghazi, Ben Poole +4
stat.MLcs.LGarXiv:1606.00704v32016
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu, Zhi Tian, Yuqing Wang +5
cs.CVcs.AIcs.LGarXiv:2104.13840v42021
Quantifying Attention Flow in Transformers
Samira Abnar, Willem Zuidema
cs.LGcs.AIcs.CLarXiv:2005.00928v22020
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, Jaewoo Kang
cs.LGstat.MLarXiv:1904.08082v42019
FastText.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski +3
cs.CLcs.LGarXiv:1612.03651v12016
API design for machine learning software: experiences from the scikit-learn project
Lars Buitinck, Gilles Louppe, Mathieu Blondel +12
cs.LGcs.MSarXiv:1309.0238v12013

Machine Learning

Gradient Descent Finds Global Minima of Deep Neural Networks

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

Discovering Reinforcement Learning Interfaces with Large Language Models

The StarCraft Multi-Agent Challenge

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Adversarial Attacks on Neural Networks for Graph Data

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music

Characterizing possible failure modes in physics-informed neural networks

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions

Local SGD Converges Fast and Communicates Little

When to Trust Your Model: Model-Based Policy Optimization

What is the State of Neural Network Pruning?

Blended Diffusion for Text-driven Editing of Natural Images

Semi-supervised Sequence Learning

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

A Reductions Approach to Fair Classification

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

Square Attack: a query-efficient black-box adversarial attack via random search

Quantizing deep convolutional networks for efficient inference: A whitepaper

struc2vec: Learning Node Representations from Structural Identity

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Matrix Completion from a Few Entries

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

SEGAN: Speech Enhancement Generative Adversarial Network

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Overcoming catastrophic forgetting with hard attention to the task

OptNet: Differentiable Optimization as a Layer in Neural Networks

Mastering Atari with Discrete World Models

Metrics for Multi-Class Classification: an Overview

LSTM Fully Convolutional Networks for Time Series Classification

When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels

Towards Personalized Federated Learning

Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study

MagNet: a Two-Pronged Defense against Adversarial Examples

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Deep Gaussian Processes

A Closed-Form Upper Bound for Admissible Learning-Rate Steps in Belief-Space Dynamics

AI Feynman: a Physics-Inspired Method for Symbolic Regression

TIDE: Every Layer Knows the Token Beneath the Context

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration

Empirical Evidence for Simply Connected Decision Regions in Image Classifiers

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents

Mastering Diverse Domains through World Models

Graph U-Nets

LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation

Reinforcement Learning with Unsupervised Auxiliary Tasks

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Planning with Diffusion for Flexible Behavior Synthesis

Learning Sparse Neural Networks through $L_0$ Regularization

Adversarially Learned Inference

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Quantifying Attention Flow in Transformers

Self-Attention Graph Pooling

FastText.zip: Compressing text classification models

API design for machine learning software: experiences from the scikit-learn project