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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2,881 to 2,940 of 20,214

IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring
Liang Cao, Weide Liu, Yan Qin +3
cs.LGcs.AIarXiv:2609.08375v12026
Condensing Graphs via One-Step Gradient Matching
Wei Jin, Xianfeng Tang, Haoming Jiang +4
cs.LGcs.AIarXiv:2206.07746v32022
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation
Pawel Swietojanski, Jinyu Li, Steve Renals
cs.CLcs.LGcs.SDarXiv:1601.02828v22016
Tarsier: Recipes for Training and Evaluating Large Video Description Models
Jiawei Wang, Liping Yuan, Yuchen Zhang +1
cs.CVcs.LGarXiv:2407.00634v22024
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye, Bo Liu, Stephen Wright +2
cs.LGcs.AImath.OCarXiv:2209.08709v12022
Audio Super Resolution using Neural Networks
Volodymyr Kuleshov, S. Zayd Enam, Stefano Ermon
cs.SDcs.LGarXiv:1708.00853v12017
Neural Thompson Sampling
Weitong Zhang, Dongruo Zhou, Lihong Li +1
cs.LGstat.MLarXiv:2010.00827v22020
Semantic Human Matting
Quan Chen, Tiezheng Ge, Yanyu Xu +3
cs.CVcs.GRcs.LGarXiv:1809.01354v22018
Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding
Namwoo Kim, Jeeyun Chang, Kanghoon Lee +1
cs.LGcs.AIarXiv:2609.08268v12026
On the Possibilities of AI-Generated Text Detection
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu +3
cs.CLcs.AIcs.LGarXiv:2304.04736v32023
Visual Imitation Made Easy
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani +3
cs.ROcs.CVcs.LGarXiv:2008.04899v12020
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett +1
cs.LGcs.CLcs.CVarXiv:1812.04155v42018
Neural networks for option pricing and hedging: a literature review
Johannes Ruf, Weiguan Wang
q-fin.CPcs.LGq-fin.RMarXiv:1911.05620v22019
RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives
Chong Zeng, Yue Dong, Pieter Peers +2
cs.CVcs.GRcs.LGarXiv:2609.05738v12026
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya, Adrian Li, Mrinal Kalakrishnan +2
cs.LGcs.AIcs.ROarXiv:1610.00673v12016
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra, Umang Gupta, Yan Liu
cs.LGarXiv:1710.10368v22017
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
Ke Liang, Yue Liu, Sihang Zhou +5
cs.AIcs.IRcs.LGarXiv:2211.10738v42022
Diffusion Models for Time Series Applications: A Survey
Lequan Lin, Zhengkun Li, Ruikun Li +2
cs.LGarXiv:2305.00624v12023
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals
Akshay Gadde, Aamir Anis, Antonio Ortega
cs.LGstat.MLarXiv:1405.4324v12014
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
N. Benjamin Erichson, Michael Muehlebach, Michael W. Mahoney
physics.comp-phcs.LGarXiv:1905.10866v12019
Deep Learning for Wireless Communications
Tugba Erpek, Timothy J. O'Shea, Yalin E. Sagduyu +2
cs.NIcs.LGarXiv:2005.06068v12020
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control
Haotian Liu, Wenchuan Wu
eess.SYcs.LGcs.MAarXiv:2006.12841v22020
Video Generative Adversarial Networks: A Review
Nuha Aldausari, Arcot Sowmya, Nadine Marcus +1
cs.CVcs.LGeess.IVarXiv:2011.02250v12020
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang, Molei Tao, Yongxin Chen
cs.LGarXiv:2206.05564v22022
A Survey of Complex-Valued Neural Networks
Joshua Bassey, Lijun Qian, Xianfang Li
stat.MLcs.LGarXiv:2101.12249v12021
A Sociotechnical View of Algorithmic Fairness
Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe
cs.CYcs.LGstat.MLarXiv:2110.09253v12021
Differentially Private Synthetic Medical Data Generation using Convolutional GANs
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
cs.LGcs.AIarXiv:2012.11774v12020
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof, Eldad Haber, Eran Treister
cs.LGcs.CVcs.NEarXiv:2108.01938v22021
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang +6
cs.LGstat.MLarXiv:2106.06333v62021
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Ilija Ilievski, Taimoor Akhtar, Jiashi Feng +1
cs.AIcs.LGstat.MLarXiv:1607.08316v22016
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu, John D. Co-Reyes, Sergey Levine
cs.LGarXiv:1703.01260v22017
LLM Layers Immediately Correct Each Other
Arjun Patrawala, Jiahai Feng, Erik Jones +1
cs.CLcs.LGarXiv:2609.07876v12026
Transformer-Based Language Models for Software Vulnerability Detection
Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed +3
cs.CRcs.AIcs.LGarXiv:2204.03214v22022
KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization
Lexington Whalen, Yuki Ito, Ryo Sakamoto
cs.LGcs.AIarXiv:2609.08135v12026
A survey on domain adaptation theory: learning bounds and theoretical guarantees
Ievgen Redko, Emilie Morvant, Amaury Habrard +2
cs.LGstat.MLarXiv:2004.11829v62020
Sparse Data Augmentation for Optimization with Provable Guarantees
Behrooz Tahmasebi, Melanie Weber
cs.LGcs.AImath.OCarXiv:2609.08133v12026
Systematic Ensemble Model Selection Approach for Educational Data Mining
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
cs.CYcs.LGarXiv:2005.06647v12020
DISEIL: Demonstration Distillation for Sample-Efficient Imitation Learning
Suyog Khanal, Arun Kumar A, Santu Rana
cs.ROcs.AIcs.LGarXiv:2609.08123v12026
Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity
Hyeondo Jang, Kwanhee Lee, Dongyeop Lee +1
cs.LGarXiv:2609.06557v12026
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura +2
cs.LGcs.DCstat.MLarXiv:1905.07210v32019
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam +1
cs.HCcs.CYcs.LGarXiv:2101.09824v12021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Felix Sattler, Tim Korjakow, Roman Rischke +1
cs.LGcs.DCstat.MLarXiv:2102.02514v12021
Balanced Policy Evaluation and Learning
Nathan Kallus
stat.MLcs.LGmath.OCarXiv:1705.07384v22017
Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1
cs.LGcs.AIcs.ROarXiv:2609.07853v12026
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:2006.02166v22020
A Conformal Prediction Approach to Explore Functional Data
Jing Lei, Alessandro Rinaldo, Larry Wasserman
stat.MLcs.LGarXiv:1302.6452v12013
Deep Relaxation: partial differential equations for optimizing deep neural networks
Pratik Chaudhari, Adam Oberman, Stanley Osher +2
cs.LGmath.APmath.OCarXiv:1704.04932v22017
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment
Jianwei Yang, Yonatan Bisk, Jianfeng Gao
cs.CVcs.AIcs.LGarXiv:2108.09980v12021
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
cs.LGarXiv:2102.06029v12021
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang, Jialu Li, Yicong Hong +6
cs.CVcs.AIcs.CLarXiv:2307.15644v22023
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
cs.CLcs.LGarXiv:1602.08952v22016
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn +2
cs.ROcs.AIcs.LGarXiv:2104.05859v52021
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.01400v12015
Efficient Learning and Symmetry Discovery under Exact Invariances
Ashkan Soleymani, Behrooz Tahmasebi, Patrick Jaillet +1
cs.LGstat.MLarXiv:2609.07031v12026
Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification
Sameer Bhat, Piotr Szczuko
cs.LGcs.CVarXiv:2609.07408v12026
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine, Marc Höftmann, Tobias Uelwer +1
cs.LGcs.AIstat.MLarXiv:2303.07109v12023
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki, Andrew M. Stuart
cs.LGmath.OCstat.MLarXiv:1808.03620v12018
REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
Sean Bin Yang, Ying Sun, Jilin Hu +5
cs.LGcs.AIarXiv:2609.07206v12026
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning
Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan
cs.CVcs.LGarXiv:2007.09549v12020
Avoiding pathologies in very deep networks
David Duvenaud, Oren Rippel, Ryan P. Adams +1
stat.MLcs.LGarXiv:1402.5836v32014

Machine Learning

IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring

Condensing Graphs via One-Step Gradient Matching

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

Tarsier: Recipes for Training and Evaluating Large Video Description Models

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Audio Super Resolution using Neural Networks

Neural Thompson Sampling

Semantic Human Matting

Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding

On the Possibilities of AI-Generated Text Detection

Visual Imitation Made Easy

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Neural networks for option pricing and hedging: a literature review

RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search

Deep Generative Dual Memory Network for Continual Learning

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Diffusion Models for Time Series Applications: A Survey

Active Semi-Supervised Learning Using Sampling Theory for Graph Signals

Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction

Deep Learning for Wireless Communications

Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control

Video Generative Adversarial Networks: A Review

gDDIM: Generalized denoising diffusion implicit models

A Survey of Complex-Valued Neural Networks

A Sociotechnical View of Algorithmic Fairness

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

Invariant Information Bottleneck for Domain Generalization

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

LLM Layers Immediately Correct Each Other

Transformer-Based Language Models for Software Vulnerability Detection

KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization

A survey on domain adaptation theory: learning bounds and theoretical guarantees

Sparse Data Augmentation for Optimization with Provable Guarantees

Systematic Ensemble Model Selection Approach for Educational Data Mining

DISEIL: Demonstration Distillation for Sample-Efficient Imitation Learning

Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity

Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Balanced Policy Evaluation and Learning

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

Communication-Computation Trade-Off in Resource-Constrained Edge Inference

A Conformal Prediction Approach to Explore Functional Data

Deep Relaxation: partial differential equations for optimizing deep neural networks

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

Scaling Data Generation in Vision-and-Language Navigation

Representation of linguistic form and function in recurrent neural networks

Rapid Exploration for Open-World Navigation with Latent Goal Models

Max-Pooling Dropout for Regularization of Convolutional Neural Networks

Efficient Learning and Symmetry Discovery under Exact Invariances

Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification

Transformer-based World Models Are Happy With 100k Interactions

Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks

REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

Avoiding pathologies in very deep networks