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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11,161 to 11,220 of 20,193

Mapping Natural Language Instructions to Mobile UI Action Sequences
Yang Li, Jiacong He, Xin Zhou +2
cs.CLcs.LGarXiv:2005.03776v22020
Multi-Representation Adaptation Network for Cross-domain Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang +4
cs.CVcs.AIcs.LGarXiv:2201.01002v12022
Adversarial vulnerability for any classifier
Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
cs.LGcs.CRcs.CVarXiv:1802.08686v22018
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
eess.SPcs.AIcs.LGarXiv:1909.10461v22019
Closing the Learning-Planning Loop with Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
cs.LGcs.AIarXiv:0912.2385v12009
Time Series Prediction using Deep Learning Methods in Healthcare
Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph Dunbar
cs.LGarXiv:2108.13461v32021
A New Android Malware Detection Approach Using Bayesian Classification
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams +1
cs.CRcs.LGarXiv:1608.00848v12016
Explaining a Series of Models by Propagating Shapley Values
Hugh Chen, Scott M. Lundberg, Su-In Lee
cs.LGarXiv:2105.00108v22021
Systematic Literature Review: Quantum Machine Learning and its applications
David Peral García, Juan Cruz-Benito, Francisco José García-Peñalvo
quant-phcs.LGarXiv:2201.04093v22022
Wireless Image Retrieval at the Edge
Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
cs.ITcs.LGarXiv:2007.10915v22020
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao, Fei Wang, Yongjun Xu +10
cs.LGcs.AIarXiv:2310.06119v22023
GenCast: Diffusion-based ensemble forecasting for medium-range weather
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet +9
cs.LGphysics.ao-pharXiv:2312.15796v22023
Residual Policy Learning
Tom Silver, Kelsey Allen, Josh Tenenbaum +1
cs.ROcs.LGarXiv:1812.06298v22018
Bayesian Dark Knowledge
Anoop Korattikara, Vivek Rathod, Kevin Murphy +1
cs.LGstat.MLarXiv:1506.04416v32015
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGarXiv:2005.02844v12020
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye +2
cs.LGcs.CVarXiv:2303.07338v22023
Llumnix: Dynamic Scheduling for Large Language Model Serving
Biao Sun, Ziming Huang, Hanyu Zhao +4
cs.ARcs.DCcs.LGarXiv:2406.03243v12024
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez +1
cs.SIcs.LGarXiv:1311.3669v12013
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
stat.MLcs.LGmath.PRarXiv:2208.05314v22022
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Yongxin Yang, Timothy Hospedales
cs.LGarXiv:1605.06391v22016
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin, David Rolnick
stat.MLcs.LGmath.STarXiv:1906.00904v22019
RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
Yao Lu, Shang Liu, Qijun Zhang +1
cs.LGcs.ARarXiv:2308.05345v32023
Classification Accuracy Score for Conditional Generative Models
Suman Ravuri, Oriol Vinyals
cs.LGstat.MLarXiv:1905.10887v22019
Massive Activations in Large Language Models
Mingjie Sun, Xinlei Chen, J. Zico Kolter +1
cs.CLcs.LGarXiv:2402.17762v22024
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
Chong You, Chun-Guang Li, Daniel P. Robinson +1
cs.LGcs.CVstat.MLarXiv:1605.02633v12016
On the Limitations of Unsupervised Bilingual Dictionary Induction
Anders Søgaard, Sebastian Ruder, Ivan Vulić
cs.CLcs.LGstat.MLarXiv:1805.03620v12018
Emergent aggregation from collective foraging
Gorka Muñoz-Gil, Andrea López-Incera, Vide Ramsten +3
cond-mat.stat-mechcs.LGcs.MAarXiv:2608.28046v12026
Decentralized Deep Learning with Arbitrary Communication Compression
Anastasia Koloskova, Tao Lin, Sebastian U. Stich +1
cs.LGcs.DCcs.DSarXiv:1907.09356v32019
AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang, Zhenyi Wang, Li Shen +4
cs.LGcs.CVarXiv:2310.02575v22023
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma +2
cs.CVcs.CLcs.LGarXiv:2306.14610v12023
Working Memory Connections for LSTM
Federico Landi, Lorenzo Baraldi, Marcella Cornia +1
cs.LGcs.CLcs.CVarXiv:2109.00020v12021
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
Ruichen Zhang, Hongyang Du, Yinqiu Liu +5
cs.NIcs.LGarXiv:2404.09134v22024
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Guangliang Cheng, Yunmeng Huang, Xiangtai Li +4
cs.CVcs.LGeess.IVarXiv:2305.05813v12023
Curriculum Learning of Multiple Tasks
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
stat.MLcs.LGarXiv:1412.1353v12014
Fast and accurate sentiment classification using an enhanced Naive Bayes model
Vivek Narayanan, Ishan Arora, Arjun Bhatia
cs.CLcs.IRcs.LGarXiv:1305.6143v22013
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng, Minzhou Pan, Hoang Anh Just +3
cs.CRcs.LGarXiv:2204.05255v22022
Learning a Size-Weight Frontier for Synthetic-Augmented Inference
Chengpiao Huang, Kaizheng Wang
stat.MEcs.AIcs.LGarXiv:2608.28576v12026
Parameterized Machine Learning for High-Energy Physics
Pierre Baldi, Kyle Cranmer, Taylor Faucett +2
hep-excs.LGhep-pharXiv:1601.07913v12016
Trustworthy AI
Richa Singh, Mayank Vatsa, Nalini Ratha
cs.CYcs.CRcs.CVarXiv:2011.02272v12020
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao +4
cs.ROcs.AIcs.LGarXiv:2403.04436v12024
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng, Xiangnan He, Jie Tang +1
cs.LGcs.SIstat.MLarXiv:1902.08226v22019
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin +4
cs.LGcs.NEstat.MLarXiv:1912.08881v32019
How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution
Vedant Palit, Florent Draye, Terry Jingchen Zhang +2
cs.CLcs.LGarXiv:2608.27510v12026
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Yongcheng Liu, Bin Fan, Lingfeng Wang +3
cs.CVcs.AIcs.LGarXiv:1807.11236v12018
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson, Christopher Michael Rytting, David Wingate
cs.CLcs.LGarXiv:2210.12353v32022
Accelerating LLM Inference via Vector Index Based Output Embeddings
Martin Loretz, Sepp Hochreiter
cs.CLcs.LGarXiv:2608.27460v12026
Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning
Nan Wang, Mohit Yadav, Jonathan Wulff +5
cs.ROcs.AIcs.LGarXiv:2608.28578v12026
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
Lingxiao Wang, Qi Cai, Zhuoran Yang +1
cs.LGmath.OCstat.MLarXiv:1909.01150v32019
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You, Yong Liu, Jianmin Wang +1
cs.LGcs.AIarXiv:2102.11005v32021
Agent AI: Surveying the Horizons of Multimodal Interaction
Zane Durante, Qiuyuan Huang, Naoki Wake +11
cs.AIcs.HCcs.LGarXiv:2401.03568v22024
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz +1
cs.LGcs.CVmath.NAarXiv:2305.04391v22023
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz +2
cs.LGcs.AIstat.MLarXiv:2104.05522v62021
How Proper Scoring Rules Shape LLM Forecasting
Benjamin Turtel, Paul Wilczewski, Kris Skotheim +2
cs.LGcs.AIarXiv:2608.28482v12026
Observation of high-energy neutrinos from the Galactic plane
R. Abbasi, M. Ackermann, J. Adams +386
astro-ph.HEastro-ph.GAcs.LGarXiv:2307.04427v12023
Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel
cs.LGcs.CRstat.MLarXiv:2007.03767v42020
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo, Yoshua Bengio
cs.LGstat.MLarXiv:1711.11561v12017
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
cs.LGcs.CGmath.FAarXiv:1201.6530v32012
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Sören Mindermann, Jan Brauner, Muhammed Razzak +8
cs.LGcs.AIcs.CLarXiv:2206.07137v32022
Blog: Survey of Optimizers
Ruoran Xu
cs.LGcs.AIarXiv:2608.28557v12026
An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models
Javier Aguilar Martín
cs.LGcs.AIarXiv:2608.28541v12026

Machine Learning

Mapping Natural Language Instructions to Mobile UI Action Sequences

Multi-Representation Adaptation Network for Cross-domain Image Classification

Adversarial vulnerability for any classifier

Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

Closing the Learning-Planning Loop with Predictive State Representations

Time Series Prediction using Deep Learning Methods in Healthcare

A New Android Malware Detection Approach Using Bayesian Classification

Explaining a Series of Models by Propagating Shapley Values

Systematic Literature Review: Quantum Machine Learning and its applications

Wireless Image Retrieval at the Edge

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

GenCast: Diffusion-based ensemble forecasting for medium-range weather

Residual Policy Learning

Bayesian Dark Knowledge

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need

Llumnix: Dynamic Scheduling for Large Language Model Serving

Scalable Influence Estimation in Continuous-Time Diffusion Networks

Convergence of denoising diffusion models under the manifold hypothesis

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Deep ReLU Networks Have Surprisingly Few Activation Patterns

RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

Classification Accuracy Score for Conditional Generative Models

Massive Activations in Large Language Models

Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering

On the Limitations of Unsupervised Bilingual Dictionary Induction

Emergent aggregation from collective foraging

Decentralized Deep Learning with Arbitrary Communication Compression

AdaMerging: Adaptive Model Merging for Multi-Task Learning

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Working Memory Connections for LSTM

Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Curriculum Learning of Multiple Tasks

Fast and accurate sentiment classification using an enhanced Naive Bayes model

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Learning a Size-Weight Frontier for Synthetic-Augmented Inference

Parameterized Machine Learning for High-Energy Physics

Trustworthy AI

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning

How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution

Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network

Leveraging Large Language Models for Multiple Choice Question Answering

Accelerating LLM Inference via Vector Index Based Output Embeddings

Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learning

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence

LogME: Practical Assessment of Pre-trained Models for Transfer Learning

Agent AI: Surveying the Horizons of Multimodal Interaction

A Variational Perspective on Solving Inverse Problems with Diffusion Models

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

How Proper Scoring Rules Shape LLM Forecasting

Observation of high-energy neutrinos from the Galactic plane

Defending against Backdoors in Federated Learning with Robust Learning Rate

Measuring the tendency of CNNs to Learn Surface Statistical Regularities

Random Feature Maps for Dot Product Kernels

Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Blog: Survey of Optimizers

An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models