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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30,781 to 30,840 of 32,816

Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean, Sherrie Wang, Anshul Samar +3
cs.CVcs.LGstat.MLarXiv:1805.02855v22018
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
The Curse of Multilinguality in Lexical Normalization
Saman Rahbar
cs.CLcs.AIcs.LGarXiv:2609.00329v12026
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning
Sanjit Bhat, David Lu, Albert Kwon +1
cs.CRcs.LGarXiv:1802.10215v22018
KVAE: Family of Tokenizers for Multimodal Generative Models
Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov +11
cs.CVcs.LGcs.SDarXiv:2608.05798v12026
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik, Asaf Shabtai
cs.CRcs.LGarXiv:1806.08110v22018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski, Hao Zhang, Zile Li +4
cs.IRcs.AIcs.CLarXiv:1809.01479v52018
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
cs.CVcs.AIcs.LGarXiv:1809.00716v12018
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang +5
cs.CVcs.LGarXiv:1804.04610v12018
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data
Jorge Samper-González, Ninon Burgos, Simona Bottani +13
cs.LGstat.MLarXiv:1808.06452v12018
Tracing Audio Grounding and Answer Selection in Audio LLMs
Hyebin Cho, Suho Yoo, Jihoo Jung +1
cs.CLcs.AIcs.LGarXiv:2609.04637v12026
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
Deirdre Quillen, Eric Jang, Ofir Nachum +3
cs.ROcs.LGstat.MLarXiv:1802.10264v22018
Efficient AI Model Deployment Using Quantization Analysis Tool
Dwith Chenna, Kanishka Macherla
cs.LGarXiv:2609.11954v12026
A Survey on Deep Transfer Learning
Chuanqi Tan, Fuchun Sun, Tao Kong +3
cs.LGstat.MLarXiv:1808.01974v12018
BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events
Parth Bramhecha, Smit Deshmukh, Sairaj Bodhale +2
cs.CLcs.LGarXiv:2609.02895v12026
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
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu, Huanrui Yang, Ziwei Liu +3
cs.CVcs.CRcs.LGarXiv:1806.02299v42018
A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN
Adrian Degenkolb, Qiong Huang, Benjamin Schäfer
cs.LGarXiv:2609.02538v12026
MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning
Akshay Mhatre, Vikram Karthick, Deepti Gupta +1
cs.DCcs.LGarXiv:2609.10545v12026
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie, J. Morris Chang
cs.CRcs.LGarXiv:1804.11238v12018
Driving Policy Transfer via Modularity and Abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem +1
cs.ROcs.CVcs.LGarXiv:1804.09364v32018
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi, Noah Apthorpe, Nick Feamster
cs.CRcs.LGarXiv:1804.04159v12018
Troubling Trends in Machine Learning Scholarship
Zachary C. Lipton, Jacob Steinhardt
stat.MLcs.AIcs.LGarXiv:1807.03341v22018
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Dabal Pedamonti
cs.LGstat.MLarXiv:1804.02763v12018
Generative Adversarial Networks for Extreme Learned Image Compression
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer +2
cs.CVcs.LGarXiv:1804.02958v32018
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
eess.IVcs.AIcs.CVarXiv:2608.27690v12026
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim +5
cs.LGcs.HCstat.MLarXiv:1805.10724v32018
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari +3
cs.LGcs.AIstat.AParXiv:1802.10238v42018
Three dimensional Deep Learning approach for remote sensing image classification
Amina Ben Hamida, A Benoit, Patrick Lambert +1
cs.CVcs.LGstat.MLarXiv:1806.05824v12018
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
Weicheng Cai, Jinkun Chen, Ming Li
eess.AScs.LGcs.SDarXiv:1804.05160v12018
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani, Anush Sankaran, Rahul Aralikatte
cs.SEcs.LGarXiv:1801.01275v12018
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Anish Athalye, Nicholas Carlini
cs.CVcs.CRcs.LGarXiv:1804.03286v12018
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra +1
cs.LGcs.CVstat.MLarXiv:1712.03878v52017
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo +7
cs.LGstat.MLarXiv:1806.01822v22018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying, Ruining He, Kaifeng Chen +3
cs.IRcs.LGstat.MLarXiv:1806.01973v12018
One Residual with Three Reuses: A Wristband Front End for Gesture Sensing
Sam Rifaki
cs.LGcs.ARcs.HCarXiv:2608.16542v12026
Summaries:한국어
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim, Vinicius C. Azevedo, Nils Thuerey +3
cs.LGcs.GRphysics.comp-pharXiv:1806.02071v22018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway, Michael C. Mozer
cs.LGcs.AIstat.MLarXiv:1802.05312v22018
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Garrett B. Goh, Nathan O. Hodas, Charles Siegel +1
stat.MLcs.AIcs.CLarXiv:1712.02034v22017
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman +2
cs.AIcs.LGcs.LOarXiv:1711.11157v22017
RetrievalFormer: A Dual-Encoder Transformer for Efficient Approximate Nearest Neighbor Retrieval and Cold-Item Recommendation
Theodore Rogers, Joe Standerfer, Dmitrii Timoshenko +3
cs.IRcs.LGarXiv:2608.24079v12026
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1805.11080v12018
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
Charis Lanaras, José Bioucas-Dias, Silvano Galliani +2
cs.CVcs.LGarXiv:1803.04271v22018
Focal onset seizure prediction using convolutional networks
Haidar Khan, Lara Marcuse, Madeline Fields +2
cs.LGstat.MLarXiv:1805.11576v12018
Adversarial Logit Pairing
Harini Kannan, Alexey Kurakin, Ian Goodfellow
cs.LGstat.MLarXiv:1803.06373v12018
TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
Vladimir Bataev, Lilit Grigoryan, Andrei Andrusenko +3
eess.AScs.AIcs.CLarXiv:2608.21343v12026
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra, Debbie Marr
cs.LGcs.CVcs.NEarXiv:1711.05852v12017
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts, Jesse Engel, Colin Raffel +2
cs.LGcs.SDeess.ASarXiv:1803.05428v52018
Deep Auxiliary Learning for Visual Localization and Odometry
Abhinav Valada, Noha Radwan, Wolfram Burgard
cs.ROcs.LGarXiv:1803.03642v12018
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Akash Bonagiri, Gerard Janno Anderias, Saee Patil +6
cs.LGcs.AIarXiv:2605.02122v22026
Learning Word Vectors for 157 Languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta +2
cs.CLcs.LGarXiv:1802.06893v22018
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie A. Smith +5
cs.LGstat.MLarXiv:1803.02329v12018
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
Buqiang Xu, Yijun Chen, Jizhan Fang +5
cs.CLcs.AIcs.IRarXiv:2604.21748v12026
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Takayuki Nishio, Ryo Yonetani
cs.NIcs.LGarXiv:1804.08333v22018
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz, Robert Nishihara, Stephanie Wang +8
cs.DCcs.AIcs.LGarXiv:1712.05889v22017
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu, Úlfar Erlingsson +2
cs.LGcs.AIcs.CRarXiv:1802.08232v32018
PokeRL: Reinforcement Learning for Pokemon Red
Dheeraj Mudireddy, Sai Patibandla
cs.LGarXiv:2604.10812v12026
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
Sai Teja Erukude, Lior Shamir
astro-ph.IMastro-ph.GAcs.AIarXiv:2608.20666v12026
Inferring transportation modes from GPS trajectories using a convolutional neural network
Sina Dabiri, Kevin Heaslip
cs.LGstat.MLarXiv:1804.02386v12018
Ring-based Spatial Transformer: Learning Non-linear Spatial Interactions between Building Distribution and Pedestrian Flow
Shun Nakayama, Takahiro Kanamori, Wanglin Yan
cs.LGcs.AIcs.CYarXiv:2608.14660v12026

Machine Learning

Tile2Vec: Unsupervised representation learning for spatially distributed data

Learning to See in the Dark

The Curse of Multilinguality in Lexical Normalization

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

KVAE: Family of Tokenizers for Multimodal Generative Models

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

Tracing Audio Grounding and Answer Selection in Audio LLMs

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

Efficient AI Model Deployment Using Quantization Analysis Tool

A Survey on Deep Transfer Learning

BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events

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

DPatch: An Adversarial Patch Attack on Object Detectors

A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN

MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning

Privacy Preserving Machine Learning: Threats and Solutions

Driving Policy Transfer via Modularity and Abstraction

Machine Learning DDoS Detection for Consumer Internet of Things Devices

Troubling Trends in Machine Learning Scholarship

Comparison of non-linear activation functions for deep neural networks on MNIST classification task

Generative Adversarial Networks for Extreme Learned Image Compression

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

Three dimensional Deep Learning approach for remote sensing image classification

Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses

Generalized Zero-Shot Learning via Synthesized Examples

Relational recurrent neural networks

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

One Residual with Three Reuses: A Wristband Front End for Gesture Sensing

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Learning Deep Disentangled Embeddings with the F-Statistic Loss

SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties

A Semantic Loss Function for Deep Learning with Symbolic Knowledge

RetrievalFormer: A Dual-Encoder Transformer for Efficient Approximate Nearest Neighbor Retrieval and Cold-Item Recommendation

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting

Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network

Focal onset seizure prediction using convolutional networks

Adversarial Logit Pairing

TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Deep Auxiliary Learning for Visual Localization and Odometry

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems

Learning Word Vectors for 157 Languages

Learning Memory Access Patterns

StructMem: Structured Memory for Long-Horizon Behavior in LLMs

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Ray: A Distributed Framework for Emerging AI Applications

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

PokeRL: Reinforcement Learning for Pokemon Red

Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI

Inferring transportation modes from GPS trajectories using a convolutional neural network

Ring-based Spatial Transformer: Learning Non-linear Spatial Interactions between Building Distribution and Pedestrian Flow