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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11,521 to 11,580 of 20,193

Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio +2
cs.LGstat.MLarXiv:1703.04782v32017
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14
cs.LGarXiv:2303.10462v12023
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong, Jaehong Yoon, Eunho Yang +1
cs.LGstat.MLarXiv:2006.12097v32020
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong +2
cs.LGcs.CLcs.LOarXiv:1908.06177v22019
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
Tobias Czempiel, Magdalini Paschali, Matthias Keicher +4
eess.IVcs.CVcs.LGarXiv:2003.10751v12020
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu, Yu Zheng, Daokun Zhang +3
cs.LGarXiv:2201.06367v12022
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang +4
cs.LGcs.CLcs.DCarXiv:2309.14509v22023
Selective Question Answering under Domain Shift
Amita Kamath, Robin Jia, Percy Liang
cs.CLcs.LGarXiv:2006.09462v12020
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
cs.CLcs.LGarXiv:2009.13295v12020
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022
Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields
YuJie Huang, WenWu He, ZhuoEr Lin +3
cs.AIcs.LGarXiv:2608.27475v12026
Multi-view Knowledge Graph Embedding for Entity Alignment
Qingheng Zhang, Zequn Sun, Wei Hu +3
cs.AIcs.CLcs.LGarXiv:1906.02390v12019
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami, Kfir Aberman, Ohad Fried +2
cs.CVcs.GRcs.LGarXiv:2305.16311v22023
All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun, Hong Cheng, Jia Li +2
cs.SIcs.AIcs.LGarXiv:2307.01504v22023
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu, Jingjing Li, Zhekai Du +2
cs.LGcs.CVcs.MMarXiv:2302.11803v12023
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab, Aapo Hyvärinen +2
stat.MLcs.LGeess.SParXiv:2007.16104v12020
Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study
Hadeer Elashhab, Sai Srijan Papineni, Marvin Dorn +2
cs.LGarXiv:2608.17091v12026
Efficient Reasoning on the Edge
Yelysei Bondarenko, Thomas Hehn, Rob Hesselink +15
cs.LGcs.CLarXiv:2603.16867v22026
daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently
Mohan Jiang, Dayuan Fu, Junhao Shi +8
cs.LGcs.AIcs.SEarXiv:2602.02619v22026
TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios
Yuanzhe Shen, Zisu Huang, Zhengyuan Wang +14
cs.AIcs.LGarXiv:2602.01675v12026
Large language models can accurately predict searcher preferences
Paul Thomas, Seth Spielman, Nick Craswell +1
cs.IRcs.AIcs.CLarXiv:2309.10621v32023
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4
stat.MLcs.AIcs.LGarXiv:2305.02012v32023
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
cs.CVcs.AIcs.LGarXiv:2302.12251v22023
Can Foundation Models Wrangle Your Data?
Avanika Narayan, Ines Chami, Laurel Orr +2
cs.LGcs.AIcs.DBarXiv:2205.09911v22022
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices
Caiwen Ding, Siyu Liao, Yanzhi Wang +13
cs.CVcs.AIcs.LGarXiv:1708.08917v12017
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
Randal S. Olson, William La Cava, Zairah Mustahsan +2
q-bio.QMcs.LGstat.MLarXiv:1708.05070v22017
Co$^2$L: Contrastive Continual Learning
Hyuntak Cha, Jaeho Lee, Jinwoo Shin
cs.LGcs.CVarXiv:2106.14413v12021
Effect of barren plateaus on gradient-free optimization
Andrew Arrasmith, M. Cerezo, Piotr Czarnik +2
quant-phcs.LGstat.MLarXiv:2011.12245v22020
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone, Luca Longo
cs.AIcs.LGarXiv:2006.00093v42020
Single-Stage Semantic Segmentation from Image Labels
Nikita Araslanov, Stefan Roth
cs.CVcs.LGarXiv:2005.08104v12020
Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks
Haoran You, Chaojian Li, Pengfei Xu +6
cs.LGstat.MLarXiv:1909.11957v62019
Deep Learning for Financial Applications : A Survey
Ahmet Murat Ozbayoglu, Mehmet Ugur Gudelek, Omer Berat Sezer
q-fin.STcs.LGstat.MLarXiv:2002.05786v12020
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi +5
cs.CVcs.LGarXiv:2011.00178v12020
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern, William Chan, Jamie Kiros +1
cs.CLcs.LGstat.MLarXiv:1902.03249v12019
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto, Eldad Haber
cs.LGmath.OCstat.MLarXiv:1804.04272v22018
Learning Control Barrier Functions from Expert Demonstrations
Alexander Robey, Haimin Hu, Lars Lindemann +4
eess.SYcs.LGmath.OCarXiv:2004.03315v32020
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden +3
cs.LGcs.AIcs.CVarXiv:1805.11592v22018
Freeze-Thaw Bayesian Optimization
Kevin Swersky, Jasper Snoek, Ryan Prescott Adams
stat.MLcs.LGarXiv:1406.3896v12014
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia, Tony Q. S. Quek, Kun Guo +3
cs.ITcs.LGarXiv:2007.02315v12020
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park, Minsik Lee, Hyung Jin Chang +2
cs.LGcs.CVstat.MLarXiv:1908.02441v12019
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard, Sebastian Ruder
cs.CLcs.LGstat.MLarXiv:1801.06146v52018
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li, Yongxin Yang, Wei Zhou +1
cs.LGstat.MLarXiv:1901.11448v32019
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du, Olivia Watkins, Zihan Wang +5
cs.LGcs.AIcs.CLarXiv:2302.06692v22023
Language Modeling Is Compression
Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne +9
cs.LGcs.AIcs.CLarXiv:2309.10668v22023
Direct speech-to-speech translation with a sequence-to-sequence model
Ye Jia, Ron J. Weiss, Fadi Biadsy +4
cs.CLcs.LGcs.SDarXiv:1904.06037v22019
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
David Berthelot, Colin Raffel, Aurko Roy +1
cs.LGstat.MLarXiv:1807.07543v22018
Complexity of Linear Regions in Deep Networks
Boris Hanin, David Rolnick
stat.MLcs.LGmath.PRarXiv:1901.09021v22019
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries
Kailong Liu, Xiaosong Hu, Zhongbao Wei +2
cs.LGeess.SYarXiv:2101.00035v12020
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
cs.LGcs.AIcs.CVarXiv:1911.10868v22019
Neural Jump Stochastic Differential Equations
Junteng Jia, Austin R. Benson
cs.LGstat.MLarXiv:1905.10403v32019
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He, Tianxiang Sun, Kuanning Wang +2
cs.CLcs.AIcs.LGarXiv:2211.15029v22022
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao, Yu Wang, Sai Li +4
cs.LGarXiv:2201.00299v32022
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:2008.06460v22020
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus, Amir Globerson, Eran Malach +1
cs.LGarXiv:1710.10174v12017
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Senthooran Rajamanoharan, Tom Lieberum, Nicolas Sonnerat +4
cs.LGarXiv:2407.14435v32024
Bike Flow Prediction with Multi-Graph Convolutional Networks
Di Chai, Leye Wang, Qiang Yang
cs.LGcs.AIstat.MLarXiv:1807.10934v12018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
Itay Safran, Ohad Shamir
cs.LGstat.MLarXiv:1712.08968v32017
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2205.10343v22022
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
cs.IRcs.LGstat.MLarXiv:1904.12058v32019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
eess.IVcs.LGstat.MLarXiv:1904.02816v32019

Machine Learning

Online Learning Rate Adaptation with Hypergradient Descent

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Towards Unsupervised Deep Graph Structure Learning

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Selective Question Answering under Domain Shift

A Diagnostic Study of Explainability Techniques for Text Classification

Guided Conditional Diffusion for Controllable Traffic Simulation

Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fields

Multi-view Knowledge Graph Embedding for Entity Alignment

Break-A-Scene: Extracting Multiple Concepts from a Single Image

All in One: Multi-task Prompting for Graph Neural Networks

A Comprehensive Survey on Source-free Domain Adaptation

Uncovering the structure of clinical EEG signals with self-supervised learning

Deep Learning for Cross-Border Electricity Price Forecasting: A Comparative Study

Efficient Reasoning on the Edge

daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently

TRIP-Bench: A Benchmark for Long-Horizon Interactive Agents in Real-World Scenarios

Large language models can accurately predict searcher preferences

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion

Can Foundation Models Wrangle Your Data?

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

Co$^2$L: Contrastive Continual Learning

Effect of barren plateaus on gradient-free optimization

Explainable Artificial Intelligence: a Systematic Review

Single-Stage Semantic Segmentation from Image Labels

Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks

Deep Learning for Financial Applications : A Survey

Learning Open Set Network with Discriminative Reciprocal Points

Insertion Transformer: Flexible Sequence Generation via Insertion Operations

Deep Neural Networks Motivated by Partial Differential Equations

Learning Control Barrier Functions from Expert Demonstrations

Playing hard exploration games by watching YouTube

Freeze-Thaw Bayesian Optimization

Multi-Armed Bandit Based Client Scheduling for Federated Learning

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

Universal Language Model Fine-tuning for Text Classification

Feature-Critic Networks for Heterogeneous Domain Generalization

Guiding Pretraining in Reinforcement Learning with Large Language Models

Language Modeling Is Compression

Direct speech-to-speech translation with a sequence-to-sequence model

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Complexity of Linear Regions in Deep Networks

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances

Neural Jump Stochastic Differential Equations

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Improving Out-of-Distribution Robustness via Selective Augmentation

Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model

SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data

Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Bike Flow Prediction with Multi-Graph Convolutional Networks

Spurious Local Minima are Common in Two-Layer ReLU Neural Networks

Towards Understanding Grokking: An Effective Theory of Representation Learning

Inductive Matrix Completion Based on Graph Neural Networks

Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning