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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10,921 to 10,980 of 20,187

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge
Yiming Xie, Pinrui Yu, Geng Yuan +2
cs.LGarXiv:2608.27713v12026
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, Lanning Wei +2
cs.AIcs.LGstat.MLarXiv:1810.13306v52018
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang, Xianglong Liu, Bo Lang +3
cs.LGarXiv:1709.06079v22017
Recurrent Autoregressive Networks for Online Multi-Object Tracking
Kuan Fang, Yu Xiang, Xiaocheng Li +1
cs.CVcs.AIcs.LGarXiv:1711.02741v22017
This Time with Feeling: Learning Expressive Musical Performance
Sageev Oore, Ian Simon, Sander Dieleman +2
cs.SDcs.LGeess.ASarXiv:1808.03715v12018
TI$^2$PS: A Topology-Informed Inverse Design Framework for Stochastic Multicellular Pattern Formation
Kenji Komiya, Andrew Kailiang Jin, Ryo Nishikimi +1
cs.LGarXiv:2608.27931v12026
Stability Properties of Graph Neural Networks
Fernando Gama, Joan Bruna, Alejandro Ribeiro
cs.LGstat.MLarXiv:1905.04497v52019
Multiscale Deep Equilibrium Models
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
cs.LGcs.CVstat.MLarXiv:2006.08656v22020
Online Control with Adversarial Disturbances
Naman Agarwal, Brian Bullins, Elad Hazan +2
cs.LGeess.SYmath.OCarXiv:1902.08721v12019
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia +1
cs.CVcs.AIcs.LGarXiv:2209.14491v32022
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss, Varun Jampani, Raphael Braun +3
cs.CVcs.GRcs.LGarXiv:2110.14373v12021
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov, Alexey Dosovitskiy
cs.CVcs.LGarXiv:1810.09381v12018
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
Zhengyi Wang, Yikai Wang, Yifei Chen +6
cs.CVcs.LGarXiv:2403.05034v12024
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates +1
stat.MLcs.LGarXiv:1811.11103v12018
Trend Filtering on Graphs
Yu-Xiang Wang, James Sharpnack, Alex Smola +1
stat.MLcs.AIcs.LGarXiv:1410.7690v52014
Constrained Reinforcement Learning Has Zero Duality Gap
Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana +1
cs.LGmath.OCstat.MLarXiv:1910.13393v12019
Measuring Sample Quality with Kernels
Jackson Gorham, Lester Mackey
stat.MLcs.LGarXiv:1703.01717v92017
Projection-free Online Learning
Elad Hazan, Satyen Kale
cs.LGcs.DSarXiv:1206.4657v12012
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
Wenke Huang, Mang Ye, Zekun Shi +4
cs.LGcs.AIarXiv:2311.06750v12023
Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks
Sunae So, Junsuk Rho
physics.opticscs.LGarXiv:1903.08432v12019
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval
Yuxin Chen, Yuejie Chi, Jianqing Fan +1
stat.MLcs.ITcs.LGarXiv:1803.07726v22018
Ab initio Modeling of MoS2/Oxide Device Interfaces with Machine Learned Electronic Structures
Manasa Kaniselvan, Mauro Dossena, Denghui Lu +4
cond-mat.mtrl-scics.LGarXiv:2608.27533v12026
A Clarification of the Nuances in the Fairness Metrics Landscape
Alessandro Castelnovo, Riccardo Crupi, Greta Greco +3
cs.LGcs.CYstat.MLarXiv:2106.00467v42021
Assessing Social and Intersectional Biases in Contextualized Word Representations
Yi Chern Tan, L. Elisa Celis
cs.CLcs.AIcs.CYarXiv:1911.01485v12019
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Qian Wang, Toby P. Breckon
cs.LGcs.CVcs.MMarXiv:1911.07982v12019
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
cs.LGcs.AIstat.MLarXiv:1809.05922v22018
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features
Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar +2
physics.chem-phcs.LGarXiv:2007.08026v32020
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui +2
cs.LGcs.AIcs.CVarXiv:1801.07648v22018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr Pong, Shixiang Gu, Murtaza Dalal +1
cs.LGarXiv:1802.09081v22018
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles, Sven Gowal, Florian Stimberg +4
cs.LGcs.CVarXiv:2110.11328v22021
Transformers as Algorithms: Generalization and Stability in In-context Learning
Yingcong Li, M. Emrullah Ildiz, Dimitris Papailiopoulos +1
cs.LGcs.CLstat.MLarXiv:2301.07067v22023
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
Dong Yu, Michael L. Seltzer, Jinyu Li +2
cs.LGcs.CLcs.NEarXiv:1301.3605v32013
Adversarial Attacks Against Medical Deep Learning Systems
Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane +1
cs.CRcs.CYcs.LGarXiv:1804.05296v32018
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof +1
eess.IVcs.CVcs.LGarXiv:2004.02060v42020
Cross-conformal predictors
Vladimir Vovk
stat.MLcs.LGarXiv:1208.0806v12012
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers, Jiasen Lu, Ximing Lu +7
cs.CVcs.CLcs.LGarXiv:2201.02639v42022
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Fengfu Li, Hong Qiao, Bo Zhang +1
cs.CVcs.LGarXiv:1703.07980v12017
Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen, Jun Zhang, S. H. Song +1
cs.ITcs.LGeess.SParXiv:2203.10800v22022
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma, Kaizheng Wang, Yuejie Chi +1
cs.LGcs.ITmath.OCarXiv:1711.10467v32017
Self-Training for End-to-End Speech Recognition
Jacob Kahn, Ann Lee, Awni Hannun
cs.CLcs.LGeess.ASarXiv:1909.09116v22019
Maximum Principle Based Algorithms for Deep Learning
Qianxiao Li, Long Chen, Cheng Tai +1
cs.LGstat.MLarXiv:1710.09513v42017
Improving Energy Efficiency of Oil Platforms Through Optimal Loading of Diesel Generators Using Machine Learning and Search Algorithms
Khivishta Boodhoo, Josh Plumbly, Nicholas Watson
cs.LGcs.AIarXiv:2608.22076v12026
Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
Aliyu Agboola Alege
cs.AIcs.ITcs.LGarXiv:2603.15674v22026
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich, Mitchell Stern, Dan Klein
cs.CLcs.AIcs.LGarXiv:1704.07535v12017
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
cs.LGcs.NEstat.MLarXiv:1412.7149v42014
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Chenxin Xu, Maosen Li, Zhenyang Ni +2
cs.CVcs.LGarXiv:2204.08770v22022
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Olga Golovneva, Moya Chen, Spencer Poff +4
cs.CLcs.LGarXiv:2212.07919v22022
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado +4
cs.CVcs.AIcs.LGarXiv:2109.03805v32021
Text Embeddings Reveal (Almost) As Much As Text
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov +1
cs.CLcs.LGarXiv:2310.06816v12023
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie +6
cs.LGarXiv:2310.10012v42023
Learning from History for Byzantine Robust Optimization
Sai Praneeth Karimireddy, Lie He, Martin Jaggi
cs.LGcs.DCmath.OCarXiv:2012.10333v32020
Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms
Prabhu Vellaisamy, Vanessa Lam, Shawn Blanton +1
cs.PFcs.DCcs.LGarXiv:2608.28044v12026
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel +28
physics.chem-phcs.LGarXiv:2204.00056v12022
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
Joao Carvalho, An T. Le, Mark Baierl +2
cs.ROcs.AIcs.LGarXiv:2308.01557v22023
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin, Marco Ciccone, Adriana Romero +5
cs.CVcs.LGarXiv:1511.07053v32015
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu +3
cs.LGcs.CVstat.MLarXiv:1809.03576v12018
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh +1
cs.LGcs.AIcs.MAarXiv:1807.09936v12018
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor +4
cs.AIcs.CVcs.LGarXiv:2301.13166v32023
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari +2
cs.CVcs.AIcs.LGarXiv:1812.00971v22018
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Kun Xu, Liwei Wang, Mo Yu +4
cs.LGcs.CLarXiv:1905.11605v32019

Machine Learning

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge

Automated Machine Learning: From Principles to Practices

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks

Recurrent Autoregressive Networks for Online Multi-Object Tracking

This Time with Feeling: Learning Expressive Musical Performance

TI$^2$PS: A Topology-Informed Inverse Design Framework for Stochastic Multicellular Pattern Formation

Stability Properties of Graph Neural Networks

Multiscale Deep Equilibrium Models

Online Control with Adversarial Disturbances

Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Bayesian graph convolutional neural networks for semi-supervised classification

Trend Filtering on Graphs

Constrained Reinforcement Learning Has Zero Duality Gap

Measuring Sample Quality with Kernels

Projection-free Online Learning

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks

Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval

Ab initio Modeling of MoS2/Oxide Device Interfaces with Machine Learned Electronic Structures

A Clarification of the Nuances in the Fairness Metrics Landscape

Assessing Social and Intersectional Biases in Contextualized Word Representations

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Memory Efficient Experience Replay for Streaming Learning

OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features

Clustering with Deep Learning: Taxonomy and New Methods

Temporal Difference Models: Model-Free Deep RL for Model-Based Control

A Fine-Grained Analysis on Distribution Shift

Transformers as Algorithms: Generalization and Stability in In-context Learning

Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks

Adversarial Attacks Against Medical Deep Learning Systems

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

Cross-conformal predictors

MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound

Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders

Graph Neural Networks for Wireless Communications: From Theory to Practice

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Self-Training for End-to-End Speech Recognition

Maximum Principle Based Algorithms for Deep Learning

Improving Energy Efficiency of Oil Platforms Through Optimal Loading of Diesel Generators Using Machine Learning and Search Algorithms

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning

Abstract Syntax Networks for Code Generation and Semantic Parsing

Deep Fried Convnets

GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning

Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

Text Embeddings Reveal (Almost) As Much As Text

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Learning from History for Byzantine Robust Optimization

Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms

SELFIES and the future of molecular string representations

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models

ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

Multi-Agent Generative Adversarial Imitation Learning

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation

Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network