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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2,401 to 2,460 of 20,176

Learning Transferable Cooperative Behavior in Multi-Agent Teams
Akshat Agarwal, Sumit Kumar, Katia Sycara
cs.LGcs.MAstat.MLarXiv:1906.01202v12019
Self-supervised Domain Adaptation for Computer Vision Tasks
Jiaolong Xu, Liang Xiao, Antonio M. Lopez
cs.CVcs.LGarXiv:1907.10915v32019
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann, Lihong Li, Wei Wei +1
cs.LGcs.AIstat.MLarXiv:1811.03056v32018
A Bayesian Perspective on the Deep Image Prior
Zezhou Cheng, Matheus Gadelha, Subhransu Maji +1
cs.CVcs.LGstat.MLarXiv:1904.07457v12019
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li, Ariel Gordon, Hang Zhao +2
cs.CVcs.GRcs.LGarXiv:2010.16404v22020
Error-Bounded Correction of Noisy Labels
Songzhu Zheng, Pengxiang Wu, Aman Goswami +3
cs.CVcs.LGarXiv:2011.10077v12020
ReCo: Retrieve and Co-segment for Zero-shot Transfer
Gyungin Shin, Weidi Xie, Samuel Albanie
cs.CVcs.AIcs.LGarXiv:2206.07045v12022
Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks
Yaning Jia, Shenyang Deng, Yaoqing Yang +3
cs.LGcs.AIarXiv:2609.09698v12026
Path Planning using Neural A* Search
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain +2
cs.LGcs.AIstat.MLarXiv:2009.07476v32020
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
Rasmus Laurvig Haugaard, Anders Glent Buch
cs.CVcs.AIcs.LGarXiv:2111.13489v22021
Sparse Stochastic Inference for Latent Dirichlet allocation
David Mimno, Matt Hoffman, David Blei
cs.LGstat.MLarXiv:1206.6425v12012
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection
Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz +1
cs.CLcs.LGarXiv:2008.01551v12020
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus, Angela Zhou
stat.MLcs.LGarXiv:1802.06037v12018
Gradient Methods for Submodular Maximization
Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi
cs.LGmath.OCarXiv:1708.03949v22017
VisText: A Benchmark for Semantically Rich Chart Captioning
Benny J. Tang, Angie Boggust, Arvind Satyanarayan
cs.CVcs.HCcs.LGarXiv:2307.05356v12023
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
Keiran Paster, Marco Dos Santos, Zhangir Azerbayev +1
cs.AIcs.CLcs.LGarXiv:2310.06786v12023
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy +1
cs.LGstat.MLarXiv:1911.05815v12019
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
cs.CLcs.LGstat.MLarXiv:2009.10195v22020
On the Sample Complexity of Reinforcement Learning with a Generative Model
Mohammad Gheshlaghi Azar, Remi Munos, Bert Kappen
cs.LGstat.MLarXiv:1206.6461v12012
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim
cs.CVcs.LGarXiv:2006.10219v32020
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Shuijing Liu, Peixin Chang, Weihang Liang +2
cs.ROcs.AIcs.LGarXiv:2011.04820v42020
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu +6
cs.DCcs.LGarXiv:2105.07806v12021
Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection
Yingjie Zhou, Xucheng Song, Yanru Zhang +3
cs.LGcs.NIarXiv:2105.10500v32021
Contrastive Learning of Musical Representations
Janne Spijkervet, John Ashley Burgoyne
cs.SDcs.LGeess.ASarXiv:2103.09410v22021
Towards Improving Adversarial Training of NLP Models
Jin Yong Yoo, Yanjun Qi
cs.CLcs.AIcs.LGarXiv:2109.00544v22021
Multimodal Federated Learning via Contrastive Representation Ensemble
Qiying Yu, Yang Liu, Yimu Wang +2
cs.LGcs.AIarXiv:2302.08888v32023
Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning
Saeed Shariati, Mohsen Alambardar Meybodi
cs.LGcs.AIcs.CRarXiv:2609.09659v12026
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
Emilie Kaufmann, Wouter Koolen
stat.MLcs.LGarXiv:1811.11419v22018
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien +1
cs.LGmath.OCstat.MLarXiv:1506.03662v42015
Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology
Zheyuan Hu, Ameya D. Jagtap, George Em Karniadakis +1
cs.LGmath.DSmath.NAarXiv:2211.08939v32022
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Sriram Srinivasan, Marc Lanctot, Vinicius Zambaldi +4
cs.LGcs.AIcs.GTarXiv:1810.09026v52018
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
Janis Postels, Francesco Ferroni, Huseyin Coskun +2
cs.LGstat.MLarXiv:1908.00598v32019
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
Andreas Hauptmann, Ben Cox
eess.IVcs.CVcs.LGarXiv:2009.07608v12020
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo, Zheng-Hua Tan, John Hansen +1
cs.SDcs.HCcs.LGarXiv:2111.10592v12021
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.MLcs.LGarXiv:2210.05475v12022
A Survey of Large Language Models for Graphs
Xubin Ren, Jiabin Tang, Dawei Yin +2
cs.LGcs.AIarXiv:2405.08011v32024
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Yifei Li, Tao Du, Kui Wu +2
cs.GRcs.LGarXiv:2106.05306v32021
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang +2
cs.LGcs.AIhep-exarXiv:2012.12177v12020
A Statistical Approach to Estimating Sample Size of Machine Learning Models
Dat Phan-Trong, Sunil Gupta, Svetha Venkatesh
cs.LGcs.AIarXiv:2609.09547v12026
Teacher Geometry Shapes Learnability in Teacher-Student Networks
Kai J. Sandbrink, Flavio Martinelli, Alexander van Meegen +2
cs.LGcs.AIcs.NEarXiv:2609.09595v12026
Can Large Language Models Reason and Plan?
Subbarao Kambhampati
cs.AIcs.CLcs.LGarXiv:2403.04121v22024
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier
cs.LGnlin.CDstat.MLarXiv:1910.00659v22019
Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning
Krzysztof M. Graczyk, Maciej Matyka
physics.comp-phcond-mat.dis-nncs.LGarXiv:2007.02820v12020
Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
Jichu li, Difan Zou
stat.MLcs.AIcs.LGarXiv:2609.09572v12026
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Jianguo Chen, Kenli Li, Kashif Bilal +3
cs.LGstat.MLarXiv:1810.07742v12018
High-probability guarantees for linear accessibility in feature superposition
Enrico Vompa
stat.MLcs.AIcs.IRarXiv:2609.09556v12026
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
Marcello Benedetti, John Realpe-Gómez, Rupak Biswas +1
quant-phcs.LGarXiv:1609.02542v42016
Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning
Parsa Rajabi, Mohammad Reza Abedi, Nader Mokari +2
eess.SPcs.AIcs.CRarXiv:2609.09511v12026
Variance-Reduced Methods for Machine Learning
Robert M. Gower, Mark Schmidt, Francis Bach +1
cs.LGmath.OCstat.MLarXiv:2010.00892v12020
Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation
Heinke Hihn
cs.LGcs.AIarXiv:2609.09433v12026
SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation
Mohammad Abu-Shaira, Weishi Shi
cs.LGcs.AIarXiv:2609.09432v12026
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart
cs.DScs.CCcs.ITarXiv:1711.07211v12017
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao +2
cs.LGcs.CVstat.MLarXiv:1809.05786v32018
Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective
Tom Everitt, Marcus Hutter, Ramana Kumar +1
cs.AIcs.LGarXiv:1908.04734v52019
ProAgent: Building Proactive Cooperative Agents with Large Language Models
Ceyao Zhang, Kaijie Yang, Siyi Hu +12
cs.AIcs.LGcs.MAarXiv:2308.11339v32023
Visual Causal Feature Learning
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
stat.MLcs.AIcs.CVarXiv:1412.2309v22014
Crypto-Nets: Neural Networks over Encrypted Data
Pengtao Xie, Misha Bilenko, Tom Finley +3
cs.LGcs.CRcs.NEarXiv:1412.6181v22014
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
Yizhen Wang, Somesh Jha, Kamalika Chaudhuri
stat.MLcs.CRcs.LGarXiv:1706.03922v62017
From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls
Hamed Jafarzadeh Asl, Yuanhao Yu, Vahid Partovi Nia
cs.LGcs.AIcs.CLarXiv:2609.09476v12026
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden, Rick Salay, Krzysztof Czarnecki +3
cs.LGstat.MLarXiv:1812.02765v12018

Machine Learning

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Self-supervised Domain Adaptation for Computer Vision Tasks

Policy Certificates: Towards Accountable Reinforcement Learning

A Bayesian Perspective on the Deep Image Prior

Unsupervised Monocular Depth Learning in Dynamic Scenes

Error-Bounded Correction of Noisy Labels

ReCo: Retrieve and Co-segment for Zero-shot Transfer

Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks

Path Planning using Neural A* Search

SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings

Sparse Stochastic Inference for Latent Dirichlet allocation

To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection

Policy Evaluation and Optimization with Continuous Treatments

Gradient Methods for Submodular Maximization

VisText: A Benchmark for Semantically Rich Chart Captioning

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

On the Sample Complexity of Reinforcement Learning with a Generative Model

Sequential Graph Convolutional Network for Active Learning

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Towards Demystifying Serverless Machine Learning Training

Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection

Contrastive Learning of Musical Representations

Towards Improving Adversarial Training of NLP Models

Multimodal Federated Learning via Contrastive Representation Ensemble

Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning

Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals

Variance Reduced Stochastic Gradient Descent with Neighbors

Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

Deep Learning in Photoacoustic Tomography: Current approaches and future directions

Deep Spoken Keyword Spotting: An Overview

GENIE: Higher-Order Denoising Diffusion Solvers

A Survey of Large Language Models for Graphs

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

A Statistical Approach to Estimating Sample Size of Machine Learning Models

Teacher Geometry Shapes Learnability in Teacher-Student Networks

Can Large Language Models Reason and Plan?

Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers

Predicting Porosity, Permeability, and Tortuosity of Porous Media from Images by Deep Learning

Learning with Synthetic Data via SGD in High-Dimensional Linear Regression

A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks

High-probability guarantees for linear accessibility in feature superposition

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning

Variance-Reduced Methods for Machine Learning

Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation

SCCM : Stream Cruise Control Method for Automated Drift Detection and Adaptation

List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Visual Causal Feature Learning

Crypto-Nets: Neural Networks over Encrypted Data

Analyzing the Robustness of Nearest Neighbors to Adversarial Examples

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance