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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10,441 to 10,500 of 20,199

LoGo: Token-Level Dynamic Local-Global Attention
Yuqi Pan, Zheng Li, Bohao Tang +2
cs.CLcs.LGarXiv:2608.29539v12026
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
cs.LGcs.CRstat.MLarXiv:2004.05703v12020
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Phillip Rieger, Thien Duc Nguyen, Markus Miettinen +1
cs.CRcs.LGarXiv:2201.00763v12022
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song, Mai Xu, Jianyi Wang +3
cs.CVcs.LGarXiv:1710.10755v52017
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Yujun Lin, Haotian Tang, Shang Yang +4
cs.CLcs.AIcs.LGarXiv:2405.04532v32024
A Simple Convergence Proof of Adam and Adagrad
Alexandre Défossez, Léon Bottou, Francis Bach +1
stat.MLcs.LGarXiv:2003.02395v32020
Transformers for Modeling Physical Systems
Nicholas Geneva, Nicholas Zabaras
cs.LGphysics.comp-pharXiv:2010.03957v62020
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
Shayne Longpre, Gregory Yauney, Emily Reif +8
cs.CLcs.LGarXiv:2305.13169v22023
Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates
Daehwan Ahn, Chengfeng Mao, Dokyun Lee
cs.CLcs.CYcs.LGarXiv:2608.29455v12026
Early Methods for Detecting Adversarial Images
Dan Hendrycks, Kevin Gimpel
cs.LGcs.CRcs.CVarXiv:1608.00530v22016
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luis C. Lamb, Artur Garcez, Marco Gori +3
cs.AIcs.CLcs.LGarXiv:2003.00330v72020
Adaptive Online Learning in Dynamic Environments
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
cs.LGstat.MLarXiv:1810.10815v12018
Optimal Demand Response Using Device Based Reinforcement Learning
Zheng Wen, Daniel O'Neill, Hamid Reza Maei
cs.LGcs.AIeess.SYarXiv:1401.1549v22014
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Yao Zhang, Woong-Je Sung, Dimitri Mavris
stat.MLcs.LGarXiv:1712.10082v22017
Foundation Models for Decision Making: Problems, Methods, and Opportunities
Sherry Yang, Ofir Nachum, Yilun Du +3
cs.AIcs.LGarXiv:2303.04129v12023
Simple Black-Box Adversarial Perturbations for Deep Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan
cs.LGcs.CRstat.MLarXiv:1612.06299v12016
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
Sebastian Gehrmann, Elizabeth Clark, Thibault Sellam
cs.CLcs.AIcs.LGarXiv:2202.06935v12022
Parallel training of DNNs with Natural Gradient and Parameter Averaging
Daniel Povey, Xiaohui Zhang, Sanjeev Khudanpur
cs.NEcs.LGstat.MLarXiv:1410.7455v82014
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang, Shixiang Gu, Kevin Murphy +1
cs.LGcs.AIcs.CLarXiv:1906.07343v22019
Learning by Abstraction: The Neural State Machine
Drew A. Hudson, Christopher D. Manning
cs.AIcs.CLcs.CVarXiv:1907.03950v42019
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
cs.LGcs.CRmath.OCarXiv:2006.15429v22020
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Krzysztof J. Geras, Stacey Wolfson, Yiqiu Shen +7
cs.CVcs.LGstat.MLarXiv:1703.07047v32017
FireAct: Toward Language Agent Fine-tuning
Baian Chen, Chang Shu, Ehsan Shareghi +3
cs.CLcs.AIcs.LGarXiv:2310.05915v12023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang +4
cs.CLcs.AIcs.LGarXiv:2310.08659v42023
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence
Lianmin Zheng, Jiacheng Yang, Han Cai +3
cs.LGcs.AIcs.MAarXiv:1712.00600v12017
Neural Networks and the Chomsky Hierarchy
Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya +8
cs.LGcs.AIcs.CLarXiv:2207.02098v32022
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam H. Laradji +2
math.OCcs.LGstat.COarXiv:1506.00552v22015
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization
Paras Jain, Ajay Jain, Aniruddha Nrusimha +5
cs.LGcs.CVcs.DCarXiv:1910.02653v32019
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua, Wenxiao Wang, Zihui Xue +3
cs.LGcs.AIcs.CVarXiv:2105.00470v22021
Dynamic Word Embeddings
Robert Bamler, Stephan Mandt
stat.MLcs.LGarXiv:1702.08359v22017
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao, Zhizhen Zhao, Raquel Urtasun +1
cs.LGstat.MLarXiv:1901.01484v22019
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei Koh, Kai-Siang Ang, Hubert H. K. Teo +1
cs.LGstat.MLarXiv:1905.13289v22019
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
Guangke Chen, Sen Chen, Lingling Fan +4
eess.AScs.CRcs.LGarXiv:1911.01840v22019
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Yuchen Zhang, Percy Liang, Moses Charikar
cs.LGmath.OCstat.MLarXiv:1702.05575v32017
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch, Adam Dziedzic, Roei Schuster +3
cs.LGcs.CRcs.DCarXiv:2112.02918v22021
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che, Yanran Li, Ruixiang Zhang +4
cs.AIcs.CLcs.LGarXiv:1702.07983v12017
SantaCoder: don't reach for the stars!
Loubna Ben Allal, Raymond Li, Denis Kocetkov +38
cs.SEcs.AIcs.LGarXiv:2301.03988v22023
Weakly Supervised Action Labeling in Videos Under Ordering Constraints
Piotr Bojanowski, Rémi Lajugie, Francis Bach +4
cs.CVcs.LGarXiv:1407.1208v12014
Training independent subnetworks for robust prediction
Marton Havasi, Rodolphe Jenatton, Stanislav Fort +5
cs.LGcs.CVstat.MLarXiv:2010.06610v22020
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu, Peter I. Frazier
stat.MLcs.AIcs.LGarXiv:1606.04414v42016
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
Tommaso Dreossi, Alexandre Donzé, Sanjit A. Seshia
eess.SYcs.LGcs.SEarXiv:1703.00978v32017
On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization
Fan Zhou, Guojing Cong
cs.LGcs.DCstat.MLarXiv:1708.01012v32017
Challenges in Detoxifying Language Models
Johannes Welbl, Amelia Glaese, Jonathan Uesato +7
cs.CLcs.AIcs.CYarXiv:2109.07445v12021
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls +1
cs.AIcs.CLcs.LGarXiv:1804.03984v12018
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
Jack Foster, Stefan Schoepf, Alexandra Brintrup
cs.LGarXiv:2308.07707v22023
Learning Simple Test-Time Environments for LLM Web Agents
Junxuan Li, Zijun Liu, Ziyi Huang +4
cs.CLcs.AIcs.LGarXiv:2608.29305v12026
Summarizing Videos with Attention
Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou +2
cs.CVcs.CLcs.LGarXiv:1812.01969v22018
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Yuxin Wen, John Kirchenbauer, Jonas Geiping +1
cs.LGcs.CRcs.CVarXiv:2305.20030v32023
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Qunsong Zeng, Yuqing Du, Kin K. Leung +1
cs.ITcs.LGarXiv:1907.06040v12019
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal +2
cs.LGcs.AIcs.CRarXiv:2203.03929v22022
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk +3
math.OCcs.LGstat.MLarXiv:1802.03801v22018
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman, Bobak Shahriari, John Aslanides +36
cs.LGcs.AIarXiv:2006.00979v22020
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu, Zhan Ling, Fanbo Xiang +6
cs.LGcs.AIcs.CVarXiv:2107.14483v52021
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean, Sherrie Wang, Anshul Samar +3
cs.CVcs.LGstat.MLarXiv:1805.02855v22018
Learning Deep Structured Models
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille +1
cs.LGarXiv:1407.2538v32014
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey
Elike Hodo, Xavier Bellekens, Andrew Hamilton +2
cs.CRcs.LGarXiv:1701.02145v12017
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
cs.LGcs.GTcs.NIarXiv:1905.07479v22019
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
Wen-Ping Tsai, Dapeng Feng, Ming Pan +5
cs.LGphysics.comp-pharXiv:2007.15751v62020
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
Jason Weston, Antoine Bordes, Oksana Yakhnenko +1
cs.CLcs.IRcs.LGarXiv:1307.7973v12013
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
Anoop Korattikara, Yutian Chen, Max Welling
cs.LGstat.MLarXiv:1304.5299v42013

Machine Learning

LoGo: Token-Level Dynamic Local-Global Attention

DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

A Simple Convergence Proof of Adam and Adagrad

Transformers for Modeling Physical Systems

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates

Early Methods for Detecting Adversarial Images

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

Adaptive Online Learning in Dynamic Environments

Optimal Demand Response Using Device Based Reinforcement Learning

Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient

Foundation Models for Decision Making: Problems, Methods, and Opportunities

Simple Black-Box Adversarial Perturbations for Deep Networks

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Parallel training of DNNs with Natural Gradient and Parameter Averaging

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

Learning by Abstraction: The Neural State Machine

Understanding Gradient Clipping in Private SGD: A Geometric Perspective

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

FireAct: Toward Language Agent Fine-tuning

LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

Neural Networks and the Chomsky Hierarchy

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

On Feature Decorrelation in Self-Supervised Learning

Dynamic Word Embeddings

LanczosNet: Multi-Scale Deep Graph Convolutional Networks

On the Accuracy of Influence Functions for Measuring Group Effects

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

When the Curious Abandon Honesty: Federated Learning Is Not Private

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

SantaCoder: don't reach for the stars!

Weakly Supervised Action Labeling in Videos Under Ordering Constraints

Training independent subnetworks for robust prediction

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

Compositional Falsification of Cyber-Physical Systems with Machine Learning Components

On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization

Challenges in Detoxifying Language Models

Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input

Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening

Learning Simple Test-Time Environments for LLM Web Agents

Summarizing Videos with Attention

Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Energy-Efficient Radio Resource Allocation for Federated Edge Learning

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks

SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

Acme: A Research Framework for Distributed Reinforcement Learning

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Tile2Vec: Unsupervised representation learning for spatially distributed data

Learning Deep Structured Models

Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget