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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12,961 to 13,020 of 20,454

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
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
cs.CLcs.LGstat.MLarXiv:2305.19187v32023
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang, Peng Cui, Renzhe Xu +3
cs.LGcs.AIcs.CVarXiv:2104.07876v12021
Auditing Differentially Private Machine Learning: How Private is Private SGD?
Matthew Jagielski, Jonathan Ullman, Alina Oprea
cs.CRcs.LGarXiv:2006.07709v12020
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Zhenguang Liu, Peng Qian, Xiaoyang Wang +3
cs.CRcs.LGcs.PLarXiv:2107.11598v12021
Loss Functions and Metrics in Deep Learning
Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza +2
cs.LGcs.AIcs.CVarXiv:2307.02694v52023
Memory-based control with recurrent neural networks
Nicolas Heess, Jonathan J Hunt, Timothy P Lillicrap +1
cs.LGarXiv:1512.04455v12015
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås, Rudolf Mester, Frank Lindseth
cs.CVcs.AIcs.LGarXiv:1909.04538v12019
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao +1
cs.CLcs.LGarXiv:1906.04329v12019
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox +2
cs.LGarXiv:1703.09327v22017
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
cs.LGcs.AIstat.MLarXiv:1905.13686v12019
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han
cs.CVcs.CLcs.LGarXiv:1511.05756v12015
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou +1
cs.CLcs.AIcs.CRarXiv:2104.13733v12021
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu +11
cs.AIcs.CLcs.LGarXiv:2410.10762v42024
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang +1
cs.LGstat.MLarXiv:1901.08247v32019
Simulation of hyperelastic materials in real-time using Deep Learning
Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
cs.CEcs.LGphysics.comp-pharXiv:1904.06197v22019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool, Herke van Hoof, Max Welling
cs.LGstat.MLarXiv:1903.06059v22019
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +1
stat.MLcs.LGstat.AParXiv:1205.1287v72012
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra +4
cs.LGcs.CLcs.PLarXiv:1906.04908v12019
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13
cs.ROcs.AIcs.CVarXiv:2108.03272v42021
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
cs.LGcond-mat.mtrl-scistat.MLarXiv:2210.02410v22022
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang, Qi Liu, Xiangyu Yue +2
cs.CVcs.LGarXiv:2010.01089v32020
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, Yang Liu
cs.CLcs.AIcs.LGarXiv:2310.10683v22023
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
cs.LGcs.NEarXiv:1601.07925v12016
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
cs.CVcs.CRcs.CYarXiv:2108.00401v22021
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada +2
cs.LGstat.MLarXiv:1908.11775v42019
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz +1
cs.LGstat.MLarXiv:2002.00585v12020
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton, Payal Bajaj, Marinka Zitnik +2
cs.SIcs.LGstat.MLarXiv:1806.01445v42018
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin, Miles Brundage, Jack Clark +1
cs.CLcs.LGarXiv:2102.02503v12021
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
cs.LGstat.MLarXiv:1712.06559v32017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair, Dian Chen, Pulkit Agrawal +4
cs.CVcs.LGcs.ROarXiv:1703.02018v12017
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel Hsu, Sham M. Kakade
cs.LGstat.MLarXiv:1206.5766v42012
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, François Goulette
cs.LGcs.CVstat.MLarXiv:1712.00032v22017
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen, Martin J. Wainwright
math.STcs.LGstat.MLarXiv:1509.03025v12015
Simple random search provides a competitive approach to reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
cs.LGcs.AImath.OCarXiv:1803.07055v12018

Machine Learning

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

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Deep Stable Learning for Out-Of-Distribution Generalization

Auditing Differentially Private Machine Learning: How Private is Private SGD?

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection

Loss Functions and Metrics in Deep Learning

Memory-based control with recurrent neural networks

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

Federated Learning for Emoji Prediction in a Mobile Keyboard

DART: Noise Injection for Robust Imitation Learning

Explainability Techniques for Graph Convolutional Networks

Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

Gradient-based Adversarial Attacks against Text Transformers

AFlow: Automating Agentic Workflow Generation

Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review

Simulation of hyperelastic materials in real-time using Deep Learning

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning

SPoC: Search-based Pseudocode to Code

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Unsupervised Point Cloud Pre-Training via Occlusion Completion

Large Language Model Unlearning

Automating biomedical data science through tree-based pipeline optimization

Advances in adversarial attacks and defenses in computer vision: A survey

Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel

Proving the Lottery Ticket Hypothesis: Pruning is All You Need

Embedding Logical Queries on Knowledge Graphs

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Learning mixtures of spherical Gaussians: moment methods and spectral decompositions

Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification

Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees

Simple random search provides a competitive approach to reinforcement learning