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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12,541 to 12,600 of 20,177

Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang +7
cs.CVcs.GRcs.LGarXiv:2211.10440v22022
Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang +1
cs.AIcs.LGarXiv:2205.13504v32022
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
Arthur Douillard, Alexandre Ramé, Guillaume Couairon +1
cs.CVcs.LGarXiv:2111.11326v32021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman Ravuri, Karel Lenc, Matthew Willson +17
cs.LGarXiv:2104.00954v12021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu, Akash Velu, Eugene Vinitsky +4
cs.LGcs.AIcs.MAarXiv:2103.01955v42021
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva +3
physics.flu-dyncs.LGarXiv:2102.01010v12021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon Batzner, Albert Musaelian, Lixin Sun +6
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2101.03164v32021
NeRD: Neural Reflectance Decomposition from Image Collections
Mark Boss, Raphael Braun, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2012.03918v42020
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019
FSGAN: Subject Agnostic Face Swapping and Reenactment
Yuval Nirkin, Yosi Keller, Tal Hassner
cs.CVcs.GRcs.LGarXiv:1908.05932v12019
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
cs.CVcs.LGeess.IVarXiv:1908.05612v62019
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei Wang, Yu-Chin Chan, Faez Ahmed +3
cs.CEcs.LGstat.MLarXiv:2006.15274v22020
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
cs.LGstat.MLarXiv:2006.01107v12020
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai +2
cs.CVcs.LGcs.ROarXiv:1905.02693v42019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong +4
cs.CVcs.LGarXiv:1811.11553v32018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David C. Sterratt, Iain Murray
stat.MLcs.LGarXiv:1805.07226v22018
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions
Francis Bach
cs.LGmath.NAstat.MLarXiv:1502.06800v22015
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira +3
cs.CVcs.CRcs.LGarXiv:1811.09600v32018
AutoML to Date and Beyond: Challenges and Opportunities
Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith +3
cs.LGcs.AIarXiv:2010.10777v42020
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob, Skirmantas Kligys, Bo Chen +5
cs.LGstat.MLarXiv:1712.05877v12017
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto +8
cs.AIcs.LGstat.MLarXiv:2301.10677v22023
On scientific understanding with artificial intelligence
Mario Krenn, Robert Pollice, Si Yue Guo +9
cs.CYcs.LGphysics.chem-pharXiv:2204.01467v12022
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu, Xinchao Wang
cs.CVcs.AIcs.LGarXiv:2405.07992v32024
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang +1
cs.LGarXiv:1703.07015v32017
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández, Justus Bogner, Xavier Franch +5
cs.SEcs.AIcs.LGarXiv:2105.01984v22021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin, Federico Corradi, Sander M. Bohte
cs.NEcs.LGarXiv:2103.12593v12021
Visual Dialog
Abhishek Das, Satwik Kottur, Khushi Gupta +5
cs.CVcs.AIcs.CLarXiv:1611.08669v52016
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Ankur Handa, Karl Van Wyk, Wei Yang +6
cs.CVcs.LGcs.ROarXiv:1910.03135v22019
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang, Weizhong Yan, Tim Oates
cs.LGcs.NEstat.MLarXiv:1611.06455v42016
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo, Wei Cheng, Wenchao Yu +4
cs.LGcs.AIarXiv:2011.07057v12020
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, Ali Shafahi +4
stat.MLcs.CRcs.LGarXiv:1905.05897v22019
Masked Visual Pre-training for Motor Control
Tete Xiao, Ilija Radosavovic, Trevor Darrell +1
cs.CVcs.LGcs.ROarXiv:2203.06173v12022
Towards Open Set Deep Networks
Abhijit Bendale, Terrance Boult
cs.CVcs.LGarXiv:1511.06233v12015
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov +2
cs.CLcs.LGarXiv:1804.07745v32018
Factorized Fourier Neural Operators
Alasdair Tran, Alexander Mathews, Lexing Xie +1
cs.LGcs.CEarXiv:2111.13802v42021
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Žbontar, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1409.4326v22014
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Pierre Sermanet, Koray Kavukcuoglu, Soumith Chintala +1
cs.CVcs.LGarXiv:1212.0142v22012
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang +7
cs.CVcs.CLcs.LGarXiv:2306.00864v12023
Influence Functions in Deep Learning Are Fragile
Samyadeep Basu, Philip Pope, Soheil Feizi
cs.LGstat.MLarXiv:2006.14651v22020
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov +1
cs.ROcs.AIcs.LGarXiv:1907.06013v32019
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu, Long Yang, Yali Du +4
cs.AIcs.LGarXiv:2205.10330v52022
Generalized Category Discovery
Sagar Vaze, Kai Han, Andrea Vedaldi +1
cs.CVcs.LGarXiv:2201.02609v22022
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems
Lei Zhang, David Zhang
cs.LGarXiv:1505.06405v12015
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence
Terrence J. Sejnowski
q-bio.NCcs.AIcs.LGarXiv:2002.04806v12020
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Dan Li, Dacheng Chen, Jonathan Goh +1
cs.LGstat.MLarXiv:1809.04758v32018
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang, Fang Wan, Chang Liu +2
cs.CVcs.LGarXiv:1909.02466v22019
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov, Ivan Titov
cs.LGcs.CLcs.CVarXiv:1705.11192v22017
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
cs.CLcs.IRcs.LGarXiv:1210.3926v22012
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Songwei Ge, Seungjun Nah, Guilin Liu +7
cs.CVcs.GRcs.LGarXiv:2305.10474v32023
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
cs.LGcs.CRcs.CVarXiv:1811.09310v12018
Multi-relational Poincaré Graph Embeddings
Ivana Balažević, Carl Allen, Timothy Hospedales
cs.LGstat.MLarXiv:1905.09791v32019
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin, Karl Rohe
stat.MLcs.LGmath.STarXiv:1309.4111v12013
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
cs.LGcs.AIcs.MAarXiv:1812.09755v12018
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing +4
cs.CVcs.AIcs.LGarXiv:2208.07422v12022
Improved YOLOv5 network for real-time multi-scale traffic sign detection
Junfan Wang, Yi Chen, Mingyu Gao +1
cs.CVcs.LGarXiv:2112.08782v22021
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
Hao Zhou, Chengming Hu, Ye Yuan +11
eess.SYcs.LGarXiv:2405.10825v22024
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir +5
cs.LGeess.SPq-bio.NCarXiv:2002.01925v12020
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu, Zehan Qi, Zhijiang Guo +4
cs.CLcs.AIcs.IRarXiv:2403.08319v22024
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Zhao Kang, Zhiping Lin, Xiaofeng Zhu +1
cs.LGcs.AIcs.CVarXiv:2102.07943v12021
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi, Zihao Xu, Hengyi Wang +6
cs.LGcs.AIcs.CLarXiv:2404.16789v32024

Machine Learning

Magic3D: High-Resolution Text-to-3D Content Creation

Are Transformers Effective for Time Series Forecasting?

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Machine learning accelerated computational fluid dynamics

E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

NeRD: Neural Reflectance Decomposition from Image Collections

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

FSGAN: Subject Agnostic Face Swapping and Reenactment

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems

Model-Based Reinforcement Learning with Value-Targeted Regression

3D Packing for Self-Supervised Monocular Depth Estimation

Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

AutoML to Date and Beyond: Challenges and Opportunities

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Imitating Human Behaviour with Diffusion Models

On scientific understanding with artificial intelligence

MambaOut: Do We Really Need Mamba for Vision?

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Software Engineering for AI-Based Systems: A Survey

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

Visual Dialog

DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Learning to Drop: Robust Graph Neural Network via Topological Denoising

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets

Masked Visual Pre-training for Motor Control

Towards Open Set Deep Networks

Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

Factorized Fourier Neural Operators

Computing the Stereo Matching Cost with a Convolutional Neural Network

Pedestrian Detection with Unsupervised Multi-Stage Feature Learning

A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics

Influence Functions in Deep Learning Are Fragile

Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Generalized Category Discovery

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

FreeAnchor: Learning to Match Anchors for Visual Object Detection

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

Learning Attitudes and Attributes from Multi-Aspect Reviews

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

Multi-relational Poincaré Graph Embeddings

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

Improved YOLOv5 network for real-time multi-scale traffic sign detection

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

Knowledge Conflicts for LLMs: A Survey

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view

Continual Learning of Large Language Models: A Comprehensive Survey