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.

Search paper metadata (including unsummarized papers)

3,901 to 3,960 of 20,199

Removing Hidden Confounding by Experimental Grounding
Nathan Kallus, Aahlad Manas Puli, Uri Shalit
stat.MLcs.LGarXiv:1810.11646v12018
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang, Linxi Yu, Jian Li
cs.LGcs.CLarXiv:2407.05000v22024
What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang, Dean P. Foster, Sham M. Kakade
cs.LGcs.AImath.OCarXiv:2010.11895v12020
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Zeyuan Chen, Yinbo Chen, Jingwen Liu +5
eess.IVcs.CVcs.LGarXiv:2206.04647v12022
Provable Self-Play Algorithms for Competitive Reinforcement Learning
Yu Bai, Chi Jin
cs.LGcs.AIstat.MLarXiv:2002.04017v32020
CMGAN: Conformer-based Metric GAN for Speech Enhancement
Ruizhe Cao, Sherif Abdulatif, Bin Yang
cs.SDcs.AIcs.LGarXiv:2203.15149v42022
Federated Mutual Learning
Tao Shen, Jie Zhang, Xinkang Jia +6
cs.LGarXiv:2006.16765v32020
Deep Models of Interactions Across Sets
Jason Hartford, Devon R Graham, Kevin Leyton-Brown +1
stat.MLcs.LGarXiv:1803.02879v22018
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon
cs.CVcs.AIcs.LGarXiv:2106.01862v22021
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H. Martin, Tongsu, Peng +1
cs.LGphysics.data-anstat.MLarXiv:2002.06716v22020
Scale-Equivariant Steerable Networks
Ivan Sosnovik, Michał Szmaja, Arnold Smeulders
cs.CVcs.LGstat.MLarXiv:1910.11093v22019
Hybrid Autoregressive Transducer (hat)
Ehsan Variani, David Rybach, Cyril Allauzen +1
eess.AScs.CLcs.LGarXiv:2003.07705v12020
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
stat.MLcs.CRcs.LGarXiv:2104.10706v12021
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Yae Jee Cho, Luyang Liu, Zheng Xu +2
cs.LGcs.DCarXiv:2401.06432v22024
Locally Private Graph Neural Networks
Sina Sajadmanesh, Daniel Gatica-Perez
cs.LGcs.CRstat.MLarXiv:2006.05535v92020
A Gang of Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella
cs.LGcs.SIstat.MLarXiv:1306.0811v32013
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Patrick Schwab, Lorenz Linhardt, Stefan Bauer +2
cs.LGstat.MLarXiv:1902.00981v32019
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, Xiangliang Zhang +1
cs.LGcs.AIcs.DSarXiv:2008.10898v32020
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Zeyuan Yin, Eric Xing, Zhiqiang Shen
cs.CVcs.AIcs.LGarXiv:2306.13092v32023
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei, Yiming Ying
cs.LGstat.MLarXiv:2006.08157v12020
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.03543v12020
A machine learning based plasticity model using proper orthogonal decomposition
Dengpeng Huang, Jan Niklas Fuhg, Christian Weißenfels +1
cs.CEcs.LGarXiv:2001.03438v12020
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Bin Liu, Yuxiao Ren, Hanchi Liu +4
cs.CVcs.LGeess.IVarXiv:1912.05759v32019
Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segu, Alessio Tonioni, Federico Tombari
cs.LGcs.CVarXiv:2011.12672v32020
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
Hao Tu, Scott Moura, Yebin Wang +1
cs.CEcs.LGeess.SYarXiv:2112.12979v32021
Group-Invariant Quantum Machine Learning
Martin Larocca, Frederic Sauvage, Faris M. Sbahi +3
quant-phcs.LGstat.MLarXiv:2205.02261v22022
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction
Chengqing Yu, Fei Wang, Zezhi Shao +3
cs.LGarXiv:2308.03274v12023
GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
Denis Pavlov, Ulanbek Abdurazakov, Nursultan Bakashov
eess.AScs.CLcs.LGarXiv:2609.04222v12026
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond
Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan
eess.SPcs.ITcs.LGarXiv:2301.11283v12023
Physics-Informed Neural Networks for AC Optimal Power Flow
Rahul Nellikkath, Spyros Chatzivasileiadis
eess.SYcs.LGarXiv:2110.02672v12021
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
Arjun Jain, Jonathan Tompson, Yann LeCun +1
cs.CVcs.LGcs.NEarXiv:1409.7963v12014
EXAONE Forecast for Finance
Seunghan Lee, Jaehoon Lee, Jun Seo +9
cs.AIcs.LGarXiv:2609.04239v12026
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Abien Fred Agarap
cs.CVcs.LGcs.NEarXiv:1712.03541v22017
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang, Yu Rong, Tingyang Xu +5
cs.SIcs.CRcs.LGarXiv:1908.01297v52019
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1905.13453v12019
LLMs Will Always Hallucinate, and We Need to Live With This
Sourav Banerjee, Ayushi Agarwal, Saloni Singla
stat.MLcs.LGarXiv:2409.05746v12024
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning
Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee +3
cs.ITcs.LGarXiv:2009.09967v12020
A Tutorial on Meta-Reinforcement Learning
Jacob Beck, Risto Vuorio, Evan Zheran Liu +4
cs.LGarXiv:2301.08028v42023
Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan +5
cs.LGcs.AIstat.MLarXiv:1803.07246v12018
Modular Deep Recurrent Neural Network: Application to Quadrotors
Nima Mohajerin, Steven L. Waslander
cs.LGarXiv:2609.04339v12026
Full Stack Optimization of Transformer Inference: a Survey
Sehoon Kim, Coleman Hooper, Thanakul Wattanawong +9
cs.CLcs.LGarXiv:2302.14017v12023
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N Okoani +3
cs.CLcs.AIcs.LGarXiv:2601.05366v22026
When Should We Introduce Safety Interventions During Pretraining?
Dylan Sam, Sachin Goyal, Pratyush Maini +2
cs.LGarXiv:2601.07087v22026
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Abdelhadi Azzouni, Guy Pujolle
cs.NIcs.LGarXiv:1705.05690v32017
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen, Jiachen Hu, Chi Jin +2
cs.LGarXiv:2110.03239v22021
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Krzysztof Z. Gajos, Lena Mamykina
cs.HCcs.AIcs.LGarXiv:2202.05402v12022
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
Eunbyung Park, Alexander C. Berg
cs.CVcs.LGarXiv:1801.03049v22018
High Accuracy Android Malware Detection Using Ensemble Learning
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
cs.CRcs.LGarXiv:1608.00835v12016
RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse
Xiucheng Wang, Peilin Zheng, Honggang Jia +4
cs.LGeess.SParXiv:2601.02790v12026
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
Xian Liu, Yinghao Xu, Qianyi Wu +3
cs.CVcs.GRcs.LGarXiv:2201.07786v12022
Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
Yunfei Nie, Jiawei Wang, Ruobing Yan +3
cs.LGarXiv:2605.12782v12026
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville +2
cs.LGcs.SIarXiv:2106.06586v12021
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu, Wei Ping, Chaowei Xiao +4
cs.CVcs.CLcs.LGarXiv:2107.02192v32021
Using DUCK-Net for Polyp Image Segmentation
Razvan-Gabriel Dumitru, Darius Peteleaza, Catalin Craciun
cs.CVcs.LGarXiv:2311.02239v12023
Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection
Ziyu Yang, Guibin Chen, Yuxin Yang +2
cs.LGcs.AIcs.CLarXiv:2601.09684v12026
Generative AI collective behavior needs an interactionist paradigm
Laura Ferrarotti, Gian Maria Campedelli, Roberto Dessì +7
cs.AIcs.CYcs.HCarXiv:2601.10567v12026
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Jingcan Duan, Siwei Wang, Pei Zhang +5
cs.LGarXiv:2212.00535v22022
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
stat.MLcs.LGarXiv:1705.01936v32017
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5
cs.LGcs.AIcs.SEarXiv:2601.11895v32026

Machine Learning

Removing Hidden Confounding by Experimental Grounding

LoRA-GA: Low-Rank Adaptation with Gradient Approximation

What are the Statistical Limits of Offline RL with Linear Function Approximation?

VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution

Provable Self-Play Algorithms for Competitive Reinforcement Learning

CMGAN: Conformer-based Metric GAN for Speech Enhancement

Federated Mutual Learning

Deep Models of Interactions Across Sets

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks

Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

Scale-Equivariant Steerable Networks

Hybrid Autoregressive Transducer (hat)

Dataset Inference: Ownership Resolution in Machine Learning

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models

Locally Private Graph Neural Networks

A Gang of Bandits

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization

Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective

Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent

A Novel Community Detection Based Genetic Algorithm for Feature Selection

A machine learning based plasticity model using proper orthogonal decomposition

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

Batch Normalization Embeddings for Deep Domain Generalization

Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries

Group-Invariant Quantum Machine Learning

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue

Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond

Physics-Informed Neural Networks for AC Optimal Power Flow

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

EXAONE Forecast for Finance

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification

A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension

LLMs Will Always Hallucinate, and We Need to Live With This

Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning

A Tutorial on Meta-Reinforcement Learning

Audio Spectrogram Representations for Processing with Convolutional Neural Networks

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines

Modular Deep Recurrent Neural Network: Application to Quadrotors

Full Stack Optimization of Transformer Inference: a Survey

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models

When Should We Introduce Safety Interventions During Pretraining?

A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction

Understanding Domain Randomization for Sim-to-real Transfer

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

High Accuracy Android Malware Detection Using Ensemble Learning

RadioDiff-Flux: Efficient Radio Map Construction via Generative Denoise Diffusion Model Trajectory Midpoint Reuse

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Long-Short Transformer: Efficient Transformers for Language and Vision

Using DUCK-Net for Polyp Image Segmentation

Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection

Generative AI collective behavior needs an interactionist paradigm

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models