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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12,661 to 12,720 of 20,193

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
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham, Kelly Stanton, Henry Li +3
stat.MLcs.LGarXiv:1801.01587v62018
Towards Dropout Training for Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.00242v12015
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45
cs.CLcs.AIcs.LGarXiv:2010.02353v22020
Reward Design with Language Models
Minae Kwon, Sang Michael Xie, Kalesha Bullard +1
cs.LGcs.AIcs.CLarXiv:2303.00001v12023
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
cs.IRcs.LGarXiv:1910.05189v12019
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner +2
cs.LGcs.AIarXiv:2304.10573v22023
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal +6
stat.MLcs.LGarXiv:1907.02610v22019
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu +1
cs.LGstat.MLarXiv:1801.05134v12018
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
cs.AIcs.LGcs.PLarXiv:1802.03691v32018
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Melanie Ducoffe, Frederic Precioso
cs.LGcs.CVstat.MLarXiv:1802.09841v12018
Byzantine-Resilient Secure Federated Learning
Jinhyun So, Basak Guler, A. Salman Avestimehr
cs.CRcs.DCcs.LGarXiv:2007.11115v22020
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun +1
stat.MLcs.DCcs.LGarXiv:1805.09965v22018
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau +24
cs.LGcs.AIcs.GTarXiv:1908.09453v62019
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
Arjun Majumdar, Gunjan Aggarwal, Bhavika Devnani +2
cs.CVcs.LGcs.ROarXiv:2206.12403v22022
Disentangling Adversarial Robustness and Generalization
David Stutz, Matthias Hein, Bernt Schiele
cs.CVcs.CRcs.LGarXiv:1812.00740v22018
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang, Horace He, Abhay Singh +2
cs.LGcs.SIarXiv:2010.13993v22020
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon, Wonyong Jeong, Giwoong Lee +2
cs.LGstat.MLarXiv:2003.03196v52020
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R. Dance, Johannes Welbl +3
cs.AIcs.LGmath.SParXiv:1702.06879v22017
Revisiting Heterophily For Graph Neural Networks
Sitao Luan, Chenqing Hua, Qincheng Lu +5
cs.LGcs.SIarXiv:2210.07606v12022
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag +1
cs.MAcs.LGarXiv:1707.09183v22017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
Shuangjie Xu, Yu Cheng, Kang Gu +3
cs.CVcs.LGstat.MLarXiv:1708.02286v22017
Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks
Orestis Tsinalis, Paul M. Matthews, Yike Guo +1
stat.MLcs.LGarXiv:1610.01683v12016
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy Phan, Oliver Y. Chén, Minh C. Tran +3
eess.SPcs.LGarXiv:2007.05492v42020
The DeepFake Detection Challenge (DFDC) Dataset
Brian Dolhansky, Joanna Bitton, Ben Pflaum +4
cs.CVcs.LGarXiv:2006.07397v42020
Deep Learning in Mining Biological Data
Mufti Mahmud, M Shamim Kaiser, Amir Hussain
q-bio.QMcs.LGstat.MLarXiv:2003.00108v12020
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
cs.CVcs.LGcs.NEarXiv:1504.02351v12015
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu, Qiyuan Chen, Wei Wei +3
cs.NIcs.AIcs.LGarXiv:2407.18921v22024
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge +4
cs.CVcs.AIcs.LGarXiv:2311.15599v22023
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Yongjian Chen, Lei Tai, Kai Sun +1
cs.CVcs.AIcs.LGarXiv:2003.00504v12020
Identifying and Correcting Label Bias in Machine Learning
Heinrich Jiang, Ofir Nachum
cs.LGcs.AIstat.MLarXiv:1901.04966v12019
Contrastive Learning of General-Purpose Audio Representations
Aaqib Saeed, David Grangier, Neil Zeghidour
cs.SDcs.LGeess.ASarXiv:2010.10915v12020
MLIR: A Compiler Infrastructure for the End of Moore's Law
Chris Lattner, Mehdi Amini, Uday Bondhugula +7
cs.PLcs.LGarXiv:2002.11054v22020
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
math.OCcs.LGstat.MLarXiv:1402.4419v32014
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
Jakob Runge
stat.MEcs.LGstat.MLarXiv:2003.03685v22020
Towards Unbounded Machine Unlearning
Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes +1
cs.LGcs.CRarXiv:2302.09880v32023
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Renato Cordeiro de Amorim, Christian Hennig
stat.MLcs.LGarXiv:1602.06989v12016
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai, Suhang Wang
cs.LGarXiv:2009.01454v52020
Multi-Agent Diverse Generative Adversarial Networks
Arnab Ghosh, Viveka Kulharia, Vinay Namboodiri +2
cs.CVcs.AIcs.GRarXiv:1704.02906v32017
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
Gregory Kahn, Pieter Abbeel, Sergey Levine
cs.ROcs.AIcs.LGarXiv:2002.05700v22020
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover, Aaron Zweig, Stefano Ermon
stat.MLcs.LGcs.NEarXiv:1803.10459v42018
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Alvin Wan, Xiaoliang Dai, Peizhao Zhang +9
cs.CVcs.AIcs.LGarXiv:2004.05565v12020
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar +5
cs.ROcs.LGarXiv:2104.08212v22021
Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions
Hui Yang, Sifu Yue, Yunzhong He
cs.AIcs.LGarXiv:2306.02224v12023
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Eric Zelikman, Georges Harik, Yijia Shao +3
cs.CLcs.AIcs.LGarXiv:2403.09629v22024
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah +2
stat.MLcs.CLcs.LGarXiv:2202.05520v22022
Safe Exploration in Markov Decision Processes
Teodor Mihai Moldovan, Pieter Abbeel
cs.LGarXiv:1205.4810v32012
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna +5
cs.LGcs.CYcs.DBarXiv:2010.13561v22020
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Yixin Song, Zeyu Mi, Haotong Xie +1
cs.LGcs.OSarXiv:2312.12456v22023
Realistic Speech-Driven Facial Animation with GANs
Konstantinos Vougioukas, Stavros Petridis, Maja Pantic
cs.CVcs.LGeess.ASarXiv:1906.06337v12019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda, Rogerio Feris +1
cs.CVcs.LGarXiv:1911.12423v22019
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar, David Sontag
cs.LGcs.HCstat.MLarXiv:2006.01862v32020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu, Xingliang Yuan, Zehui Xiong +3
cs.NIcs.CRcs.LGarXiv:2006.02931v22020
Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application
Weiran Wang, Miguel Á. Carreira-Perpiñán
cs.LGmath.OCstat.MLarXiv:1309.1541v12013
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust, Oscar Ramirez, Marek Fiser +4
cs.AIcs.LGcs.ROarXiv:1710.03937v22017
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
cs.CEcs.AIcs.LGarXiv:2012.05841v32020
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven, Gabriel Peyré
cs.LGstat.MLarXiv:1905.04943v22019
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell, Guanya Shi, Xichen Shi +4
cs.ROcs.AIcs.LGarXiv:2205.06908v22022
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation
Samir Yitzhak Gadre, Mitchell Wortsman, Gabriel Ilharco +2
cs.CVcs.LGcs.ROarXiv:2203.10421v22022
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen
cs.SDcs.LGcs.NEarXiv:1604.00861v12016

Machine Learning

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

SpectralNet: Spectral Clustering using Deep Neural Networks

Towards Dropout Training for Convolutional Neural Networks

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Reward Design with Language Models

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Adversarial Robustness through Local Linearization

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

Tree-to-tree Neural Networks for Program Translation

Adversarial Active Learning for Deep Networks: a Margin Based Approach

Byzantine-Resilient Secure Federated Learning

LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

OpenSpiel: A Framework for Reinforcement Learning in Games

ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings

Disentangling Adversarial Robustness and Generalization

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

Federated Continual Learning with Weighted Inter-client Transfer

Knowledge Graph Completion via Complex Tensor Factorization

Revisiting Heterophily For Graph Neural Networks

A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks

XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

The DeepFake Detection Challenge (DFDC) Dataset

Deep Learning in Mining Biological Data

When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey

UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships

Identifying and Correcting Label Bias in Machine Learning

Contrastive Learning of General-Purpose Audio Representations

MLIR: A Compiler Infrastructure for the End of Moore's Law

Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Towards Unbounded Machine Unlearning

Recovering the number of clusters in data sets with noise features using feature rescaling factors

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Multi-Agent Diverse Generative Adversarial Networks

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

Graphite: Iterative Generative Modeling of Graphs

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale

Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

What Does it Mean for a Language Model to Preserve Privacy?

Safe Exploration in Markov Decision Processes

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Realistic Speech-Driven Facial Animation with GANs

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

Consistent Estimators for Learning to Defer to an Expert

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions

Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale

Universal Invariant and Equivariant Graph Neural Networks

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings