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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9,241 to 9,300 of 20,199

Robust Learning with Jacobian Regularization
Judy Hoffman, Daniel A. Roberts, Sho Yaida
stat.MLcs.LGarXiv:1908.02729v12019
Re-evaluating Evaluation in Text Summarization
Manik Bhandari, Pranav Gour, Atabak Ashfaq +2
cs.CLcs.IRcs.LGarXiv:2010.07100v12020
Path-Level Network Transformation for Efficient Architecture Search
Han Cai, Jiacheng Yang, Weinan Zhang +2
cs.LGcs.AIstat.MLarXiv:1806.02639v12018
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, Denis Lukovnikov
stat.MLcs.LGarXiv:1709.08894v32017
Directional convergence and alignment in deep learning
Ziwei Ji, Matus Telgarsky
cs.LGcs.NEmath.OCarXiv:2006.06657v22020
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin, You Wu, Zhenyu Zhang +10
cs.LGarXiv:2310.05175v42023
Anticipating cryptocurrency prices using machine learning
Laura Alessandretti, Abeer ElBahrawy, Luca Maria Aiello +1
physics.soc-phcs.LGq-fin.GNarXiv:1805.08550v42018
Deep Over-sampling Framework for Classifying Imbalanced Data
Shin Ando, Chun-Yuan Huang
cs.LGstat.MLarXiv:1704.07515v32017
A Unified Gradient Regularization Family for Adversarial Examples
Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang
cs.LGstat.MLarXiv:1511.06385v12015
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
Yan-Shuo Liang, Wu-Jun Li
cs.LGcs.AIcs.CVarXiv:2404.00228v32024
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Chan, Matthias Rottmann, Hanno Gottschalk
cs.CVcs.LGarXiv:2012.06575v22020
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
Vladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas +1
cs.CVcs.LGarXiv:2412.08629v22024
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
cs.CVcs.LGeess.IVarXiv:2104.05358v12021
Quantum Entanglement in Deep Learning Architectures
Yoav Levine, Or Sharir, Nadav Cohen +1
quant-phcs.LGarXiv:1803.09780v32018
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation
Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris +1
cs.LGarXiv:1708.07180v22017
Learning human behaviors from motion capture by adversarial imitation
Josh Merel, Yuval Tassa, Dhruva TB +5
cs.ROcs.LGeess.SYarXiv:1707.02201v22017
Uncertainty-Driven Replay Memory for Reinforcement Learning
Sheeraja Rajakrishnan, Alexander G. Ororbia, Travis Desell +1
cs.LGarXiv:2608.29860v12026
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness
Jinke Ren, Yinghui He, Dingzhu Wen +3
cs.ITcs.LGcs.NIarXiv:2004.00490v22020
Training robust neural networks using Lipschitz bounds
Patricia Pauli, Anne Koch, Julian Berberich +2
cs.LGeess.SYmath.OCarXiv:2005.02929v22020
Practical Federated Gradient Boosting Decision Trees
Qinbin Li, Zeyi Wen, Bingsheng He
cs.LGstat.MLarXiv:1911.04206v22019
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Rana Ali Amjad, Bernhard C. Geiger
cs.LGcs.CVcs.ITarXiv:1802.09766v62018
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti, Suraj Nair, Annie S. Chen +4
cs.ROcs.AIcs.CLarXiv:2302.12766v12023
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen, Ignacio Segovia-Dominguez, Yulia R. Gel
cs.LGstat.MLarXiv:2105.04100v12021
Masked World Models for Visual Control
Younggyo Seo, Danijar Hafner, Hao Liu +4
cs.ROcs.AIcs.CVarXiv:2206.14244v32022
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
Anthony Corso, Robert J. Moss, Mark Koren +2
cs.LGcs.AIeess.SYarXiv:2005.02979v32020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li +1
cs.LGstat.MLarXiv:2006.00104v52020
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang +1
cs.LGcs.AIstat.MLarXiv:1903.01344v32019
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
Helong Zhou, Liangchen Song, Jiajie Chen +4
cs.LGcs.CVarXiv:2102.00650v12021
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert
stat.MLcs.LGarXiv:1311.2838v22013
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks
Mushu Li, Jie Gao, Lian Zhao +1
eess.SYcs.LGarXiv:2010.01722v12020
Dense Text-to-Image Generation with Attention Modulation
Yunji Kim, Jiyoung Lee, Jin-Hwa Kim +2
cs.CVcs.GRcs.LGarXiv:2308.12964v12023
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images
Hayden Gunraj, Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2009.05383v12020
Decorrelated Batch Normalization
Lei Huang, Dawei Yang, Bo Lang +1
cs.CVcs.LGstat.MLarXiv:1804.08450v12018
Continual Test-Time Adaptation via Entropy Sensitivity-Guidance in Strict Online Setting
Chandler Timm C. Doloriel, Yunbei Zhang, Muhammad Salman Siddiqui +4
cs.CVcs.LGarXiv:2608.29920v12026
Bregman Alternating Direction Method of Multipliers
Huahua Wang, Arindam Banerjee
math.OCcs.LGstat.MLarXiv:1306.3203v32013
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma, Jingwen Li, Zhiguang Cao +4
cs.LGcs.AIarXiv:2110.02544v32021
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Zitong Yang, Yaodong Yu, Chong You +2
cs.LGstat.MLarXiv:2002.11328v32020
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
Birgit Pfitzmann, Christoph Auer, Michele Dolfi +2
cs.CVcs.LGarXiv:2206.01062v12022
Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp, Olivier Sigaud
cs.LGarXiv:1206.4621v12012
Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation
Chandler Timm C. Doloriel, Yunbei Zhang, Sarthak Kumar Maharana +5
cs.CVcs.LGarXiv:2608.29923v12026
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch, Peter J. Liu, Bin Yu
cs.CLcs.LGstat.MLarXiv:1801.05453v22018
Federated Unlearning: How to Efficiently Erase a Client in FL?
Anisa Halimi, Swanand Kadhe, Ambrish Rawat +1
cs.LGcs.CRarXiv:2207.05521v32022
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
Jun Yan, Vikas Yadav, Shiyang Li +6
cs.CLcs.CRcs.LGarXiv:2307.16888v32023
What Matters in Unsupervised Optical Flow
Rico Jonschkowski, Austin Stone, Jonathan T. Barron +3
cs.CVcs.LGeess.IVarXiv:2006.04902v22020
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen, Yongduo Sui, Xuxi Chen +2
cs.LGcs.AIstat.MLarXiv:2102.06790v22021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot, Abhradeep Thakurta, Shuang Song +2
stat.MLcs.CRcs.LGarXiv:2007.14191v12020
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
stat.MLcs.LGarXiv:1310.1757v22013
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha, Elijah Cole, Pietro Perona
cs.CVcs.LGarXiv:1906.05272v32019
Predictive Multiplicity in Classification
Charles T. Marx, Flavio du Pin Calmon, Berk Ustun
cs.LGcs.CYstat.MLarXiv:1909.06677v42019
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation
Yi Luo, Zhuo Chen, Nima Mesgarani +1
eess.AScs.LGcs.SDarXiv:1910.14104v32019
Set Functions for Time Series
Max Horn, Michael Moor, Christian Bock +2
cs.LGstat.MLarXiv:1909.12064v32019
SUNet: Swin Transformer UNet for Image Denoising
Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu
eess.IVcs.CVcs.LGarXiv:2202.14009v12022
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Jiawei Zhang, Yang Wang, Piero Molino +2
cs.LGcs.HCstat.MLarXiv:1808.00196v12018
Deep Reinforcement Learning and its Neuroscientific Implications
Matthew Botvinick, Jane X. Wang, Will Dabney +2
cs.AIcs.LGq-bio.NCarXiv:2007.03750v12020
Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo +2
cs.LGcs.CVq-bio.QMarXiv:1812.11477v12018
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
Mike Innes, Alan Edelman, Keno Fischer +4
cs.PLcs.LGarXiv:1907.07587v22019
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Yan Xu, Ran Jia, Lili Mou +4
cs.CLcs.LGarXiv:1601.03651v22016
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Amin Ullah, Syed M. Anwar, Muhammad Bilal +1
eess.SPcs.CVcs.LGarXiv:2005.06902v22020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
Cheng Zhao, Chenliang Li, Rong Xiao +2
cs.IRcs.LGarXiv:2005.10549v22020

Machine Learning

Robust Learning with Jacobian Regularization

Re-evaluating Evaluation in Text Summarization

Path-Level Network Transformation for Efficient Architecture Search

On the regularization of Wasserstein GANs

Directional convergence and alignment in deep learning

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Anticipating cryptocurrency prices using machine learning

Deep Over-sampling Framework for Classifying Imbalanced Data

A Unified Gradient Regularization Family for Adversarial Examples

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning

Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation

FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

Quantum Entanglement in Deep Learning Architectures

Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation

Learning human behaviors from motion capture by adversarial imitation

Uncertainty-Driven Replay Memory for Reinforcement Learning

Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness

Training robust neural networks using Lipschitz bounds

Practical Federated Gradient Boosting Decision Trees

Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

Language-Driven Representation Learning for Robotics

Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting

Masked World Models for Visual Control

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

A PAC-Bayesian bound for Lifelong Learning

Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

Dense Text-to-Image Generation with Attention Modulation

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

Decorrelated Batch Normalization

Continual Test-Time Adaptation via Entropy Sensitivity-Guidance in Strict Online Setting

Bregman Alternating Direction Method of Multipliers

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Rethinking Bias-Variance Trade-off for Generalization of Neural Networks

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis

Path Integral Policy Improvement with Covariance Matrix Adaptation

Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Federated Unlearning: How to Efficiently Erase a Client in FL?

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection

What Matters in Unsupervised Optical Flow

A Unified Lottery Ticket Hypothesis for Graph Neural Networks

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

A Deep and Tractable Density Estimator

Presence-Only Geographical Priors for Fine-Grained Image Classification

Predictive Multiplicity in Classification

End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation

Set Functions for Time Series

SUNet: Swin Transformer UNet for Image Denoising

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

Deep Reinforcement Learning and its Neuroscientific Implications

Machine learning in resting-state fMRI analysis

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing

Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network