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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32,041 to 32,100 of 32,754

PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
cs.LGcs.CVarXiv:2110.00061v32021
Neither hype nor gloom do DNNs justice
Felix A. Wichmann, Simon Kornblith, Robert Geirhos
cs.LGcs.CVq-bio.NCarXiv:2312.05355v12023
Data-driven Discovery of Cyber-Physical Systems
Ye Yuan, Xiuchuan Tang, Wei Pan +5
eess.SYcs.AIcs.LGarXiv:1810.00697v12018
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Yichen Wu, Yair Rivenson, Hongda Wang +5
cs.CVcs.LGphysics.app-pharXiv:1901.11252v22019
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks
Olakunle Ibitoye, Omair Shafiq, Ashraf Matrawy
cs.NIcs.CRcs.LGarXiv:1905.05137v12019
Relational Autoencoder for Feature Extraction
Qinxue Meng, Daniel Catchpoole, David Skillicorn +1
cs.LGstat.MLarXiv:1802.03145v12018
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
Xiaohan Ding, Guiguang Ding, Yuchen Guo +1
cs.LGcs.CVstat.MLarXiv:1904.03837v12019
Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
cs.LGcs.CVstat.MLarXiv:2006.01895v22020
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao, Wenbing Huang, Peijia Lin +4
cond-mat.mtrl-scics.LGarXiv:2309.04475v22023
Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:2103.01209v42021
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin, Qiong Chen, Xiaoming Qi
cs.LGcs.AIstat.MLarXiv:1901.01379v12019
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, John Hopfield
q-bio.NCcond-mat.dis-nncs.CLarXiv:2008.06996v32020
A systematic comparison of supervised classifiers
D. R. Amancio, C. H. Comin, D. Casanova +4
cs.LGarXiv:1311.0202v12013
Image Data Augmentation Approaches: A Comprehensive Survey and Future directions
Teerath Kumar, Alessandra Mileo, Rob Brennan +1
cs.CVcs.AIcs.LGarXiv:2301.02830v42023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
cs.LGarXiv:2304.05206v12023
Synthetic Data -- what, why and how?
James Jordon, Lukasz Szpruch, Florimond Houssiau +5
cs.LGarXiv:2205.03257v12022
Sanity Checks for Saliency Metrics
Richard Tomsett, Dan Harborne, Supriyo Chakraborty +2
cs.LGcs.CVeess.IVarXiv:1912.01451v12019
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun +4
cs.IRcs.AIcs.CLarXiv:1903.01306v12019
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Jill-Jênn Vie, Hisashi Kashima
cs.IRcs.AIcs.LGarXiv:1811.03388v22018
Can Computers Create Art?
Aaron Hertzmann
cs.AIcs.CVcs.GRarXiv:1801.04486v62018
Machine learning and data analytics for the IoT
Erwin Adi, Adnan Anwar, Zubair Baig +1
eess.SPcs.LGarXiv:2007.04093v12020
CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships
Jacy Reese Anthis, Mark Díaz, Renee Shelby
cs.CYcs.AIcs.CLarXiv:2609.00250v12026
Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions
Tanmay Sinha, Patrick Jermann, Nan Li +1
cs.HCcs.LGarXiv:1407.7131v22014
A Survey on Computational Propaganda Detection
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno +3
cs.CLcs.IRcs.LGarXiv:2007.08024v12020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He +13
cs.LGcs.CLcs.CVarXiv:1907.04433v22019
DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science
Mufei Li, Jinjing Zhou, Jiajing Hu +4
cs.LGq-bio.QMarXiv:2106.14232v12021
Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds
Clinton Enwerem, John S. Baras, Calin Belta
cs.ROcs.LGarXiv:2609.01453v12026
Toward a 6G AI-Native Air Interface
Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce +1
cs.NIcs.AIcs.ITarXiv:2012.08285v22020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen, Lina Yao, Yu Zhang
eess.IVcs.CVcs.LGarXiv:2004.05645v12020
PMR: Prototypical Modal Rebalance for Multimodal Learning
Yunfeng Fan, Wenchao Xu, Haozhao Wang +2
cs.LGarXiv:2211.07089v12022
Quantifying the Effect of Sentiment on Information Diffusion in Social Media
Emilio Ferrara, Zeyao Yang
cs.SIcs.LGphysics.soc-pharXiv:1506.06072v12015
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
cs.LGcs.CLstat.MLarXiv:1812.04224v12018
Masked World Models for Visual Control
Younggyo Seo, Danijar Hafner, Hao Liu +4
cs.ROcs.AIcs.CVarXiv:2206.14244v32022
Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp, Olivier Sigaud
cs.LGarXiv:1206.4621v12012
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
Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation
Yan Xu, Ran Jia, Lili Mou +4
cs.CLcs.LGarXiv:1601.03651v22016
A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations
Peter D. Turney
cs.CLcs.IRcs.LGarXiv:0809.0124v12008
ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity
Haoran Wang, Matthew Lau, Alec Helbling +7
cs.CVcs.CRcs.LGarXiv:2608.29510v12026
A dataset of continuous affect annotations and physiological signals for emotion analysis
Karan Sharma, Claudio Castellini, Egon L. van den Broek +2
cs.HCcs.LGarXiv:1812.02782v12018
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
Daniel Michelsanti, Zheng-Hua Tan
eess.AScs.LGcs.SDarXiv:1709.01703v22017
Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$
Adam Roberts, Hyung Won Chung, Anselm Levskaya +40
cs.LGcs.CLarXiv:2203.17189v12022
Federated Learning in Vehicular Networks
Ahmet M. Elbir, Burak Soner, Sinem Coleri +2
eess.SPcs.ITcs.LGarXiv:2006.01412v32020
Prompting Large Language Models with Speech Recognition Abilities
Yassir Fathullah, Chunyang Wu, Egor Lakomkin +9
eess.AScs.AIcs.CLarXiv:2307.11795v12023
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw, Xuan Choo, Eric Hunsberger +1
cs.LGstat.MLarXiv:1812.01739v22018
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li, Weiran Huang, Xu Lan +3
cs.CVcs.LGstat.MLarXiv:2005.13826v12020
CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
Markus Hanselmann, Thilo Strauss, Katharina Dormann +1
cs.CRcs.LGeess.SParXiv:1906.02492v12019
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:1910.14315v52019
Learning to Anonymize Faces for Privacy Preserving Action Detection
Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
cs.CVcs.AIcs.CRarXiv:1803.11556v22018
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic, Karan Shah, Freddie Witherden
eess.IVcs.LGstat.MLarXiv:1911.06465v32019
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
Timo Schick, Helmut Schmid, Hinrich Schütze
cs.CLcs.AIcs.LGarXiv:2010.13641v12020
Convolutional neural network models for cancer type prediction based on gene expression
Milad Mostavi, Yu-Chiao Chiu, Yufei Huang +1
q-bio.GNcs.LGq-bio.QMarXiv:1906.07794v12019
Exploring large scale public medical image datasets
Luke Oakden-Rayner
eess.IVcs.CVcs.LGarXiv:1907.12720v12019
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar +2
eess.IVcs.CVcs.LGarXiv:2001.00258v22020
From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search
Yanbo Li, Chujie Zheng, Jiahao Xu +8
cs.AIcs.LGarXiv:2608.28965v12026
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Anh Truong, Austin Walters, Jeremy Goodsitt +3
cs.LGstat.MLarXiv:1908.05557v22019
From CNN to Transformer: A Review of Medical Image Segmentation Models
Wenjian Yao, Jiajun Bai, Wei Liao +3
eess.IVcs.CVcs.LGarXiv:2308.05305v12023
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui +5
cs.LGcs.CVcs.ROarXiv:1808.05819v32018
LAFITE: Towards Language-Free Training for Text-to-Image Generation
Yufan Zhou, Ruiyi Zhang, Changyou Chen +6
cs.CVcs.LGarXiv:2111.13792v32021
Convolutional Neural Fabrics
Shreyas Saxena, Jakob Verbeek
cs.CVcs.LGcs.NEarXiv:1606.02492v42016

Machine Learning

PubTables-1M: Towards comprehensive table extraction from unstructured documents

Neither hype nor gloom do DNNs justice

Data-driven Discovery of Cyber-Physical Systems

Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning

Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks

Relational Autoencoder for Feature Extraction

Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure

Learning to Branch for Multi-Task Learning

Crystal Structure Prediction by Joint Equivariant Diffusion

Generative Adversarial Transformers

Deep Reinforcement Learning for Imbalanced Classification

Large Associative Memory Problem in Neurobiology and Machine Learning

A systematic comparison of supervised classifiers

Image Data Augmentation Approaches: A Comprehensive Survey and Future directions

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Synthetic Data -- what, why and how?

Sanity Checks for Saliency Metrics

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Can Computers Create Art?

Machine learning and data analytics for the IoT

CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships

Your click decides your fate: Inferring Information Processing and Attrition Behavior from MOOC Video Clickstream Interactions

A Survey on Computational Propaganda Detection

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds

Toward a 6G AI-Native Air Interface

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

PMR: Prototypical Modal Rebalance for Multimodal Learning

Quantifying the Effect of Sentiment on Information Diffusion in Social Media

On the Dimensionality of Word Embedding

Masked World Models for Visual Control

Path Integral Policy Improvement with Covariance Matrix Adaptation

Deep Reinforcement Learning and its Neuroscientific Implications

Machine learning in resting-state fMRI analysis

Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations

ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity

A dataset of continuous affect annotations and physiological signals for emotion analysis

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Federated Learning in Vehicular Networks

Prompting Large Language Models with Speech Recognition Abilities

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

Boosting Few-Shot Learning With Adaptive Margin Loss

CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems

Learning to Anonymize Faces for Privacy Preserving Action Detection

Fourier Spectrum Discrepancies in Deep Network Generated Images

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

Convolutional neural network models for cancer type prediction based on gene expression

Exploring large scale public medical image datasets

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis

From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

From CNN to Transformer: A Review of Medical Image Segmentation Models

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

LAFITE: Towards Language-Free Training for Text-to-Image Generation

Convolutional Neural Fabrics