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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7,981 to 8,040 of 20,199

A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang, Xingxing Zhang, Hang Su +1
cs.LGcs.AIcs.CVarXiv:2302.00487v32023
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
stat.MEcs.AIcs.CLarXiv:2210.08964v52022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu +1
cs.CVcs.AIcs.LGarXiv:2209.04747v62022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian +6
cs.ROcs.AIcs.CLarXiv:2209.11302v12022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz, Zhijin Qin, Inaki Estella Aguerri +5
cs.ITcs.AIcs.LGarXiv:2207.09353v22022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm +2
stat.MLcond-mat.mtrl-scics.LGarXiv:2206.07697v22022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena +11
cs.CVcs.LGarXiv:2205.11487v12022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
Alexis Conneau, Min Ma, Simran Khanuja +6
cs.CLcs.LGcs.SDarXiv:2205.12446v12022
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
cs.LGarXiv:2204.13902v42022
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang +17
cs.CLcs.AIcs.LGarXiv:2203.02155v12022
Summaries:한국어
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang, Yuji Roh, Hwanjun Song +1
cs.LGarXiv:2112.06409v32021
Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li +3
cs.CVcs.LGeess.IVarXiv:2111.13850v22021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
Albert Gu, Isys Johnson, Karan Goel +4
cs.LGcs.AIarXiv:2110.13985v12021
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran +2
cs.LGcs.AIstat.MLarXiv:2109.11428v12021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu +3
cs.CLcs.AIcs.LGarXiv:2107.13586v12021
Spatio-temporal graph neural networks for multi-site PV power forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet +1
cs.LGeess.SParXiv:2107.13875v22021
A Survey of Uncertainty in Deep Neural Networks
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali +11
cs.LGstat.MLarXiv:2107.03342v32021
SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran +2
cs.SDcs.LGeess.ASarXiv:2107.03312v12021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho +2
cs.LGcs.AIcs.CLarXiv:2107.03006v32021
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
eess.AScs.AIcs.LGarXiv:2106.04624v12021
How Attentive are Graph Attention Networks?
Shaked Brody, Uri Alon, Eran Yahav
cs.LGarXiv:2105.14491v32021
Numerical Composition of Differential Privacy
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
cs.DScs.CRcs.LGarXiv:2106.02848v32021
Graph Self-Supervised Learning: A Survey
Yixin Liu, Ming Jin, Shirui Pan +4
cs.LGarXiv:2103.00111v52021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor, Adam Leach, Yang Long +1
cs.LGcs.CVstat.MLarXiv:2103.04922v42021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu, Zhao Li, Shirui Pan +3
cs.LGarXiv:2103.00113v22021
Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li, Yiqun Diao, Quan Chen +1
cs.LGcs.DCarXiv:2102.02079v42021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos +5
eess.SPcs.ITcs.LGarXiv:2101.09137v22021
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5
cs.LGcs.AIstat.MLarXiv:2009.11732v32020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Qingqing Wu, Jie Xu, Yong Zeng +4
cs.ITcs.AIcs.LGarXiv:2010.09317v22020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2010.11929v22020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider, Evgenia Rusak, Luisa Eck +3
cs.LGcs.CVstat.MLarXiv:2006.16971v22020
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
cs.LGcs.CVarXiv:2010.02502v42020
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu, Tri Dao, Stefano Ermon +2
cs.LGstat.MLarXiv:2008.07669v22020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao, Bao Gia Doan, Zhi Zhang +5
cs.CRcs.CVcs.LGarXiv:2007.10760v32020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang, Qinghua Liu, Hao Liang +2
cs.LGcs.DCstat.MLarXiv:2007.07481v12020
Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
Qingqing Wu, Shuowen Zhang, Beixiong Zheng +2
cs.ITcs.LGcs.NIarXiv:2007.02759v22020
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz +1
cs.AIcs.LGarXiv:2007.06267v22020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu, Yi Sun, Zhanbo Xu +4
eess.SYcs.LGarXiv:2006.14156v22020
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen +1
cs.CRcs.CVcs.LGarXiv:2006.16974v12020
Inference-Time Scaling for Generalist Reward Modeling
Zijun Liu, Peiyi Wang, Runxin Xu +5
cs.CLcs.AIcs.LGarXiv:2504.02495v32025
TLIO: Tight Learned Inertial Odometry
Wenxin Liu, David Caruso, Eddy Ilg +5
cs.ROcs.CVcs.LGarXiv:2007.01867v32020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das, Paul Rad
cs.CVcs.AIcs.LGarXiv:2006.11371v22020
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, Pieter Abbeel
cs.LGstat.MLarXiv:2006.11239v22020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang +3
eess.SPcs.HCcs.LGarXiv:2006.00622v12020
Learning under Concept Drift: A Review
Jie Lu, Anjin Liu, Fan Dong +3
cs.LGstat.MLarXiv:2004.05785v12020
Adaptive Federated Optimization
Sashank Reddi, Zachary Charles, Manzil Zaheer +5
cs.LGcs.DCmath.OCarXiv:2003.00295v52020
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods
Mucahid Barstugan, Umut Ozkaya, Saban Ozturk
cs.CVcs.LGeess.IVarXiv:2003.09424v12020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
Yi Liu, James J. Q. Yu, Jiawen Kang +2
cs.LGcs.CRstat.MLarXiv:2003.08725v12020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti, Danfeng Hong, Renlong Hang +4
cs.CVcs.LGeess.IVarXiv:2003.02822v42020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
Vishal Monga, Yuelong Li, Yonina C. Eldar
eess.IVcs.CVcs.LGarXiv:1912.10557v32019
Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli +3
cs.CVcs.LGarXiv:2001.05566v52020
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
Tong He, John Collomosse, Hailin Jin +1
cs.CVcs.GRcs.LGarXiv:2006.08072v22020
Machine Unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo +5
cs.CRcs.AIcs.LGarXiv:1912.03817v32019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
eess.IVcs.CVcs.LGarXiv:1912.05074v22019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh +1
cs.LGcs.DCstat.MLarXiv:1912.00818v12019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
cs.LGcs.NIarXiv:1911.00222v22019
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo, Charles Huang, Maxime Bassenne +2
eess.IVcs.CVcs.LGarXiv:1911.00140v12019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler, Klaus-Robert Müller, Wojciech Samek
cs.LGcs.DCstat.MLarXiv:1910.01991v12019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen, Zhaohui Yang, Walid Saad +3
cs.NIcs.LGstat.MLarXiv:1909.07972v42019
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
Hong-Ning Dai, Hao Wang, Guangquan Xu +2
cs.CYcs.AIcs.LGarXiv:1909.00413v12019

Machine Learning

A Comprehensive Survey of Continual Learning: Theory, Method and Application

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Diffusion Models in Vision: A Survey

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

Fast Sampling of Diffusion Models with Exponential Integrator

Training language models to follow instructions with human feedback

Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Temporal Context Mining for Learned Video Compression

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Spatio-temporal graph neural networks for multi-site PV power forecasting

A Survey of Uncertainty in Deep Neural Networks

SoundStream: An End-to-End Neural Audio Codec

Structured Denoising Diffusion Models in Discrete State-Spaces

SpeechBrain: A General-Purpose Speech Toolkit

How Attentive are Graph Attention Networks?

Numerical Composition of Differential Privacy

Graph Self-Supervised Learning: A Survey

Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Federated Learning on Non-IID Data Silos: An Experimental Study

Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design

A Unifying Review of Deep and Shallow Anomaly Detection

A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Improving robustness against common corruptions by covariate shift adaptation

Denoising Diffusion Implicit Models

HiPPO: Recurrent Memory with Optimal Polynomial Projections

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial

BoxE: A Box Embedding Model for Knowledge Base Completion

Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures

Inference-Time Scaling for Generalist Reward Modeling

TLIO: Tight Learned Inertial Odometry

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Denoising Diffusion Probabilistic Models

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces

Learning under Concept Drift: A Review

Adaptive Federated Optimization

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods

Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach

Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)

Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing

Image Segmentation Using Deep Learning: A Survey

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

Machine Unlearning

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Federated Learning with Personalization Layers

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies