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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12,601 to 12,660 of 20,192

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
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski +1
cs.LGstat.MLarXiv:1905.07799v22019
Exploring Sparsity in Recurrent Neural Networks
Sharan Narang, Erich Elsen, Gregory Diamos +1
cs.LGcs.CLarXiv:1704.05119v22017
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh, Tingting Zhu, David A. Clifton
cs.LGeess.SPstat.MLarXiv:2005.13249v32020
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan +1
cs.LGcs.AIarXiv:2012.10630v42020
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu, Dixin Luo, Hongyuan Zha +1
cs.LGcs.SIstat.MLarXiv:1901.06003v22019
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Hung Le, Quang Pham, Doyen Sahoo +1
cs.CRcs.LGarXiv:1802.03162v22018
FITS: Modeling Time Series with $10k$ Parameters
Zhijian Xu, Ailing Zeng, Qiang Xu
cs.LGarXiv:2307.03756v32023
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1507.08752v12015
Artificial neural networks for neuroscientists: A primer
Guangyu Robert Yang, Xiao-Jing Wang
q-bio.NCcs.LGarXiv:2006.01001v22020
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma +2
cs.LGcs.AIcs.CLarXiv:2305.17126v22023
Zero-Shot Visual Imitation
Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo +7
cs.LGcs.AIcs.CVarXiv:1804.08606v12018
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
cs.LGstat.MLarXiv:2011.00050v32020
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo, Sebastian Regalado, Sergio Casas +1
cs.ROcs.AIcs.CVarXiv:2101.06557v12021
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li +2
cs.CVcs.AIcs.LGarXiv:2403.06135v12024
Deep Learning and Machine Vision for Food Processing: A Survey
Lili Zhu, Petros Spachos, Erica Pensini +1
cs.CVcs.LGarXiv:2103.16106v12021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi +1
cond-mat.mtrl-scics.LGarXiv:2111.01037v22021
AdapterDrop: On the Efficiency of Adapters in Transformers
Andreas Rücklé, Gregor Geigle, Max Glockner +4
cs.LGcs.CLarXiv:2010.11918v22020
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
cs.SDcs.LGarXiv:1709.01620v42017
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, Andrea Montanari
stat.MLcond-mat.stat-mechcs.LGarXiv:1902.06015v12019
A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri +1
cs.LGcs.AIcs.SIarXiv:2012.02825v22020
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
cs.LGcs.NEstat.MLarXiv:1803.00657v12018
BOP Challenge 2020 on 6D Object Localization
Tomas Hodan, Martin Sundermeyer, Bertram Drost +5
cs.CVcs.GRcs.LGarXiv:2009.07378v22020
Conformal Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch +2
stat.MEcs.AIcs.LGarXiv:2208.02814v42022
Deep Neural Networks for Anatomical Brain Segmentation
Alexandre de Brebisson, Giovanni Montana
cs.CVcs.LGstat.AParXiv:1502.02445v22015
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi +2
stat.MLcs.LGarXiv:1803.05598v22018
Analysing Affective Behavior in the First ABAW 2020 Competition
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev +1
cs.LGstat.MLarXiv:2001.11409v22020
Scaling Laws for Transfer
Danny Hernandez, Jared Kaplan, Tom Henighan +1
cs.LGarXiv:2102.01293v12021
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nathan Srebro +1
cs.LGarXiv:1106.4574v12011
Node Similarity Preserving Graph Convolutional Networks
Wei Jin, Tyler Derr, Yiqi Wang +3
cs.LGcs.AIarXiv:2011.09643v22020
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David Krueger, Tegan Maharaj, János Kramár +7
cs.NEcs.CLcs.LGarXiv:1606.01305v42016
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
cs.LGstat.MLarXiv:2009.13807v52020
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
cs.SDcs.LGeess.ASarXiv:1911.13254v22019
Discovering Invariant Rationales for Graph Neural Networks
Ying-Xin Wu, Xiang Wang, An Zhang +2
cs.LGarXiv:2201.12872v12022
Inferring land use from mobile phone activity
Jameson L. Toole, Michael Ulm, Dietmar Bauer +1
stat.MLcs.LGphysics.data-anarXiv:1207.1115v12012
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
Xianjun Yang, Xiao Wang, Qi Zhang +4
cs.CLcs.AIcs.CRarXiv:2310.02949v12023
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta, Xiongye Xiao, Paul Bogdan
cs.LGmath.AParXiv:2109.13459v22021
Machine Unlearning of Features and Labels
Alexander Warnecke, Lukas Pirch, Christian Wressnegger +1
cs.LGcs.CRarXiv:2108.11577v42021
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin, Connor W. Coley, Regina Barzilay +1
cs.LGcs.AIstat.MLarXiv:1709.04555v32017
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo, Chenghao Liu, Doyen Sahoo +2
cs.LGarXiv:2202.01381v22022
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John R. Hershey +2
stat.MLcs.LGcs.NEarXiv:1611.00035v12016
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang, Minghao Xu, Arian Jamasb +4
cs.LGarXiv:2203.06125v52022
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
cs.CVcs.LGstat.MLarXiv:2203.09481v52022
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl +4
cs.LGstat.MLarXiv:1910.08348v22019

Machine Learning

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

Adaptive Attention Span in Transformers

Exploring Sparsity in Recurrent Neural Networks

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients

GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

FITS: Modeling Time Series with $10k$ Parameters

An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback

Artificial neural networks for neuroscientists: A primer

Large Language Models as Tool Makers

Zero-Shot Visual Imitation

Dataset Meta-Learning from Kernel Ridge-Regression

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

MACE: Mass Concept Erasure in Diffusion Models

Deep Learning and Machine Vision for Food Processing: A Survey

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

AdapterDrop: On the Efficiency of Adapters in Transformers

Deep Learning Techniques for Music Generation -- A Survey

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

A Survey on Deep Learning for Human Mobility

When Machine Unlearning Jeopardizes Privacy

Evolutionary Generative Adversarial Networks

BOP Challenge 2020 on 6D Object Localization

Conformal Risk Control

Deep Neural Networks for Anatomical Brain Segmentation

Large Margin Deep Networks for Classification

Analysing Affective Behavior in the First ABAW 2020 Competition

Scaling Laws for Transfer

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Node Similarity Preserving Graph Convolutional Networks

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress

Music Source Separation in the Waveform Domain

Discovering Invariant Rationales for Graph Neural Networks

Inferring land use from mobile phone activity

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Multiwavelet-based Operator Learning for Differential Equations

Machine Unlearning of Features and Labels

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Full-Capacity Unitary Recurrent Neural Networks

Protein Representation Learning by Geometric Structure Pretraining

Diffusion Probabilistic Modeling for Video Generation

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning