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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10,561 to 10,620 of 20,195

RKT : Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey, Jaideep Srivastava
cs.LGcs.AIstat.MLarXiv:2008.12736v12020
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel Hsu +2
math.OCcs.LGeess.SYarXiv:1107.1744v22011
Multi-lingual Evaluation of Code Generation Models
Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang +22
cs.LGcs.CLarXiv:2210.14868v32022
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts
Trevor Gale, Deepak Narayanan, Cliff Young +1
cs.LGcs.AIcs.DCarXiv:2211.15841v12022
Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
Ş. Selcan Magara, Esther Havemann, Debora Jutz +2
cs.CRcs.LGarXiv:2608.20118v12026
DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations
J. Wang, X. Liu, S. Shen +2
cs.LGq-bio.QMarXiv:2107.02467v12021
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Yann LeCun
cs.CVcs.LGarXiv:1010.3467v12010
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang, Jianyu Wang
cs.CVcs.CRcs.LGarXiv:1907.10764v42019
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg +4
cs.ROcs.CVcs.LGarXiv:1806.09266v12018
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang, Huan Zhang, Ray Jiang +6
cs.CLcs.CYcs.LGarXiv:1911.03064v32019
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi, Qihao Zhou, Lei Lei +1
cs.LGcs.AIarXiv:2108.11887v22021
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou, Richard Zemel, Raquel Urtasun
cs.LGarXiv:1707.02610v22017
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jimenez, Alessandro Favero, Pascal Frossard
cs.LGcs.CVarXiv:2305.12827v32023
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun, Eric Tzeng, Trevor Darrell +1
cs.LGcs.CVstat.MLarXiv:1909.11825v22019
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam, Shankar Sastry
cs.LGarXiv:1703.01732v12017
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu +5
cs.ROcs.AIcs.CVarXiv:2101.06549v42021
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang, Hongcheng Li, Miaoqiang Su +3
cs.CRcs.LGarXiv:1705.08378v52017
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
Siddhartha Mishra, Roberto Molinaro
math.NAcs.LGmath.AParXiv:2006.16144v32020
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance
Giles Hooker, Lucas Mentch, Siyu Zhou
stat.MEcs.LGstat.MLarXiv:1905.03151v22019
On the Fairness of Disentangled Representations
Francesco Locatello, Gabriele Abbati, Tom Rainforth +3
cs.LGstat.MLarXiv:1905.13662v22019
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
cs.CRcs.LGarXiv:2106.14707v32021
Propensity Straight-Through Gradients for Discrete Stochastic Systems
Jose M. G. Vilar, Leonor Saiz
q-bio.QMcond-mat.dis-nncs.LGarXiv:2608.25631v12026
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam, Luyang Liu, Ming Yan +1
cs.LGcs.CRcs.CVarXiv:2212.01548v22022
Adversarial Unlearning of Backdoors via Implicit Hypergradient
Yi Zeng, Si Chen, Won Park +3
cs.LGcs.CRcs.CVarXiv:2110.03735v42021
A Survey on Integrated Sensing, Communication, and Computation
Dingzhu Wen, Yong Zhou, Xiaoyang Li +3
cs.ITcs.AIcs.LGarXiv:2408.08074v32024
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
cs.LGcs.AIstat.MLarXiv:2005.10619v12020
Learning Granger Causality for Hawkes Processes
Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
cs.LGstat.MLarXiv:1602.04511v22016
Policy Learning for Fairness in Ranking
Ashudeep Singh, Thorsten Joachims
cs.LGcs.CYcs.IRarXiv:1902.04056v22019
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2
eess.IVcs.CVcs.LGarXiv:1811.12817v32018
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale +4
cs.LGcs.DCmath.OCarXiv:2008.03606v22020
BioCLIP: A Vision Foundation Model for the Tree of Life
Samuel Stevens, Jiaman Wu, Matthew J Thompson +9
cs.CVcs.CLcs.LGarXiv:2311.18803v32023
MNIST-C: A Robustness Benchmark for Computer Vision
Norman Mu, Justin Gilmer
cs.CVcs.LGarXiv:1906.02337v12019
Normalized Low-Rank Adaptation
Jiale Kang, Ziyin Yue, Zheng Zhan +2
cs.LGarXiv:2608.31036v12026
Non-asymptotic Identification of LTI Systems from a Single Trajectory
Samet Oymak, Necmiye Ozay
cs.LGeess.SYmath.OCarXiv:1806.05722v22018
Imitation Learning via Off-Policy Distribution Matching
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
cs.LGstat.MLarXiv:1912.05032v12019
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain, Ambuj Tewari, Purushottam Kar
cs.LGstat.MLarXiv:1410.5137v22014
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
cs.LGstat.MLarXiv:2203.11572v42022
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Xuehai Wang, Haowei Qin, Tongxin Liu +6
cs.CLcs.AIcs.IRarXiv:2608.31076v12026
A Close Look at Deep Learning with Small Data
L. Brigato, L. Iocchi
cs.LGstat.MLarXiv:2003.12843v32020
Data Valuation using Reinforcement Learning
Jinsung Yoon, Sercan O. Arik, Tomas Pfister
cs.LGstat.MLarXiv:1909.11671v12019
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
Nick Schneider, Florian Piewak, Christoph Stiller +1
cs.CVcs.AIcs.LGarXiv:1707.03167v12017
Making deep neural networks right for the right scientific reasons by interacting with their explanations
Patrick Schramowski, Wolfgang Stammer, Stefano Teso +5
cs.LGcs.AIstat.MLarXiv:2001.05371v42020
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu +10
cs.CVcs.AIcs.CLarXiv:2311.05437v12023
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor +2
cs.SDcs.LGeess.ASarXiv:2402.04825v32024
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim, Kukjin Choi, Hyun-Soo Choi +2
cs.LGcs.AIstat.MEarXiv:2109.05257v22021
Efficient Large Scale Language Modeling with Mixtures of Experts
Mikel Artetxe, Shruti Bhosale, Naman Goyal +21
cs.CLcs.AIcs.LGarXiv:2112.10684v22021
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
Wei Niu, Xiaolong Ma, Sheng Lin +5
cs.LGcs.CVcs.DCarXiv:2001.00138v42020
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Halgurd S. Maghdid, Kayhan Zrar Ghafoor, Ali Safaa Sadiq +3
cs.HCcs.LGq-bio.PEarXiv:2003.07434v22020
Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement
Yi Ding, Ruqi Zhang
cs.LGcs.CLarXiv:2608.31046v12026
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
cs.LGcs.AIarXiv:2011.08430v22020
Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
cs.MAcs.AIcs.LGarXiv:1807.06613v32018
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network
Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Camara Pereira
stat.MLcs.LGarXiv:1903.02791v12019
Pillar-based Object Detection for Autonomous Driving
Yue Wang, Alireza Fathi, Abhijit Kundu +4
cs.CVcs.LGcs.ROarXiv:2007.10323v22020
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means
Frank Nielsen
cs.ITcs.LGarXiv:1904.04017v52019
Cross-lingual Functional Vectors for Emotion Detection in Large Language Models
Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen +1
cs.CLcs.LGarXiv:2608.29613v12026
Variational Relational Point Completion Network
Liang Pan, Xinyi Chen, Zhongang Cai +4
cs.CVcs.LGarXiv:2104.10154v12021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan, Brian Knott, Yuan Tian +1
cs.CRcs.LGarXiv:2104.10949v12021
On Learning Meaningful Code Changes via Neural Machine Translation
Michele Tufano, Jevgenija Pantiuchina, Cody Watson +2
cs.SEcs.CLcs.LGarXiv:1901.09102v12019
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Alan Tucholka +3
eess.IVcs.AIcs.CVarXiv:2210.03736v12022
TimeGPT-1
Azul Garza, Cristian Challu, Max Mergenthaler-Canseco
cs.LGstat.AParXiv:2310.03589v32023

Machine Learning

RKT : Relation-Aware Self-Attention for Knowledge Tracing

Stochastic convex optimization with bandit feedback

Multi-lingual Evaluation of Code Generation Models

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

Few-Shot Learning Through an Information Retrieval Lens

Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models

Unsupervised Domain Adaptation through Self-Supervision

Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction

Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs

Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance

On the Fairness of Disentangled Representations

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Propensity Straight-Through Gradients for Discrete Stochastic Systems

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

Adversarial Unlearning of Backdoors via Implicit Hypergradient

A Survey on Integrated Sensing, Communication, and Computation

A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments

Learning Granger Causality for Hawkes Processes

Policy Learning for Fairness in Ranking

Practical Full Resolution Learned Lossless Image Compression

Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

BioCLIP: A Vision Foundation Model for the Tree of Life

MNIST-C: A Robustness Benchmark for Computer Vision

Normalized Low-Rank Adaptation

Non-asymptotic Identification of LTI Systems from a Single Trajectory

Imitation Learning via Off-Policy Distribution Matching

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity

Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents

A Close Look at Deep Learning with Small Data

Data Valuation using Reinforcement Learning

RegNet: Multimodal Sensor Registration Using Deep Neural Networks

Making deep neural networks right for the right scientific reasons by interacting with their explanations

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Fast Timing-Conditioned Latent Audio Diffusion

Towards a Rigorous Evaluation of Time-series Anomaly Detection

Efficient Large Scale Language Modeling with Mixtures of Experts

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study

Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement

Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks

Deep Reinforcement Learning for Swarm Systems

Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network

Pillar-based Object Detection for Autonomous Driving

On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means

Cross-lingual Functional Vectors for Emotion Detection in Large Language Models

Variational Relational Point Completion Network

CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

On Learning Meaningful Code Changes via Neural Machine Translation

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis

TimeGPT-1