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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30,481 to 30,540 of 32,889

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar
cs.LGcs.CLphysics.chem-pharXiv:2010.09885v22020
Stealing Links from Graph Neural Networks
Xinlei He, Jinyuan Jia, Michael Backes +2
cs.CRcs.LGarXiv:2005.02131v22020
ProGen: Language Modeling for Protein Generation
Ali Madani, Bryan McCann, Nikhil Naik +5
q-bio.BMcs.LGstat.MLarXiv:2004.03497v12020
Phasic Policy Gradient
Karl Cobbe, Jacob Hilton, Oleg Klimov +1
cs.LGstat.MLarXiv:2009.04416v12020
On the Use of ArXiv as a Dataset
Colin B. Clement, Matthew Bierbaum, Kevin P. O'Keeffe +1
cs.IRcs.LGcs.SIarXiv:1905.00075v12019
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee +1
cs.LGcs.CVstat.MLarXiv:2003.13964v22020
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel +1
cs.CLcs.IRcs.LGarXiv:2010.00904v32020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
cs.CVcs.AIcs.LGarXiv:2010.14925v42020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang, Dacheng Tao
cs.AIcs.CVcs.LGarXiv:2011.08612v12020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
cs.MAcs.AIcs.GTarXiv:2010.09776v22020
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Daniel Seichter, Mona Köhler, Benjamin Lewandowski +2
cs.CVcs.LGcs.ROarXiv:2011.06961v32020
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
Daniel J. Fremont, Edward Kim, Yash Vardhan Pant +7
eess.SYcs.LGcs.LOarXiv:2003.07739v22020
Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John D. Owens +1
cs.LGcs.AIarXiv:2010.03759v42020
Polymer Informatics: Current Status and Critical Next Steps
Lihua Chen, Ghanshyam Pilania, Rohit Batra +4
cond-mat.softcs.LGarXiv:2011.00508v12020
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh +4
cs.CVcs.LGarXiv:1904.07305v12019
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury +4
eess.SPcs.LGarXiv:2005.03357v12020
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu +6
cs.DCcs.LGarXiv:2009.10401v42020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler +2
eess.IVcs.CVcs.LGarXiv:2004.03271v22020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
cs.CVcs.LGeess.IVarXiv:2004.02806v12020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020
MLIR: A Compiler Infrastructure for the End of Moore's Law
Chris Lattner, Mehdi Amini, Uday Bondhugula +7
cs.PLcs.LGarXiv:2002.11054v22020
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
Customer churn prediction in telecom using machine learning and social network analysis in big data platform
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa
cs.CYcs.DCcs.LGarXiv:1904.00690v12019
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu, Tao Gao, Lifeng Fan +9
cs.AIcs.CVcs.LGarXiv:2004.09044v12020
Prioritized Level Replay
Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
cs.LGcs.AIarXiv:2010.03934v42020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen +4
cs.SDcs.LGcs.NEarXiv:2010.13309v22020
Survey of Machine Learning Accelerators
Albert Reuther, Peter Michaleas, Michael Jones +3
cs.DCcs.LGarXiv:2009.00993v12020
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga, Jessica Yung, Michael Tschannen +11
cs.CVcs.LGarXiv:2007.08558v22020
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
cs.LGcs.CGq-bio.QMarXiv:2009.12981v42020
Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert +4
cs.LGcs.AIcs.ROarXiv:2002.00444v22020
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 Procedural Content Generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa +3
cs.AIcs.LGarXiv:2010.04548v12020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao +7
cs.CVcs.LGeess.IVarXiv:2007.13559v22020
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit
Zeljko Kraljevic, Thomas Searle, Anthony Shek +15
cs.CLcs.AIcs.LGarXiv:2010.01165v22020
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
eess.IVcs.LGarXiv:2006.12229v12020
Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun +2
cs.LGstat.MLarXiv:2007.00072v32020
Evolving Losses for Unsupervised Video Representation Learning
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
cs.CVcs.LGarXiv:2002.12177v12020
Fairwashing: the risk of rationalization
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau +3
cs.LGstat.MLarXiv:1901.09749v32019
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan, Jiahao Xie, Ziwei Liu +2
cs.CVcs.LGarXiv:2006.10645v12020
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Gautier Izacard, Edouard Grave
cs.CLcs.LGarXiv:2007.01282v22020
Real Time Speech Enhancement in the Waveform Domain
Alexandre Defossez, Gabriel Synnaeve, Yossi Adi
eess.AScs.LGcs.SDarXiv:2006.12847v32020
F*: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
cs.LGcs.AIcs.CVarXiv:2008.00103v32020
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
J. D. Bodapati, N. Veeranjaneyulu, S. N. Shareef +4
eess.IVcs.CVcs.LGarXiv:2006.00197v12020
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan, Chong Li, Ying Chen +4
cs.CVcs.LGeess.IVarXiv:2007.00477v12020
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz, Michael Flynn, Anthony Bagnall
cs.LGstat.MLarXiv:2007.13156v22020
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Jiaqi Su, Zeyu Jin, Adam Finkelstein
eess.AScs.LGcs.SDarXiv:2006.05694v22020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong +3
cs.LGcs.AIstat.MLarXiv:2002.03647v42020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo, Minsu Cho, Jinwoo Shin
cs.CVcs.LGstat.MLarXiv:2002.10964v22020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou, Xiao Huang, Yuening Li +3
cs.LGstat.MLarXiv:2006.06972v12020
Unsupervised Cross-lingual Representation Learning for Speech Recognition
Alexis Conneau, Alexei Baevski, Ronan Collobert +2
cs.CLcs.LGcs.SDarXiv:2006.13979v22020
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa +2
eess.IVcs.CVcs.LGarXiv:2006.12230v12020
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Yiqun Mei, Yuchen Fan, Yuqian Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.01424v12020
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li, Shouling Ji, Tianyu Du +2
cs.CRcs.CLcs.LGarXiv:1812.05271v12018
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
cs.CLcs.LGarXiv:2001.06286v22020
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman, Andrew Ilyas, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2007.08489v22020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
Roei Schuster, Congzheng Song, Eran Tromer +1
cs.CRcs.CLcs.LGarXiv:2007.02220v32020
End-to-End Lane Marker Detection via Row-wise Classification
Seungwoo Yoo, Heeseok Lee, Heesoo Myeong +4
cs.CVcs.LGarXiv:2005.08630v12020
Few-shot Scene-adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy +1
cs.CVcs.LGarXiv:2007.07843v12020
Temperate Fish Detection and Classification: a Deep Learning based Approach
Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen +4
cs.CVcs.LGeess.IVarXiv:2005.07518v12020
Physical reservoir computing -- An introductory perspective
Kohei Nakajima
nlin.AOcs.LGphysics.app-pharXiv:2005.00992v12020

Machine Learning

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Stealing Links from Graph Neural Networks

ProGen: Language Modeling for Protein Generation

Phasic Policy Gradient

On the Use of ArXiv as a Dataset

Regularizing Class-wise Predictions via Self-knowledge Distillation

Autoregressive Entity Retrieval

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World

Energy-based Out-of-distribution Detection

Polymer Informatics: Current Status and Critical Next Steps

Automatic adaptation of object detectors to new domains using self-training

Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques

Dynamic Fusion based Federated Learning for COVID-19 Detection

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

MLIR: A Compiler Infrastructure for the End of Moore's Law

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

Customer churn prediction in telecom using machine learning and social network analysis in big data platform

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Prioritized Level Replay

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

Survey of Machine Learning Accelerators

On Robustness and Transferability of Convolutional Neural Networks

Parametric UMAP embeddings for representation and semi-supervised learning

Deep Reinforcement Learning for Autonomous Driving: A Survey

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

Deep Learning for Procedural Content Generation

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Data Movement Is All You Need: A Case Study on Optimizing Transformers

Evolving Losses for Unsupervised Video Representation Learning

Fairwashing: the risk of rationalization

Online Deep Clustering for Unsupervised Representation Learning

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Real Time Speech Enhancement in the Waveform Domain

F*: An Interpretable Transformation of the F-measure

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

Benchmarking Multivariate Time Series Classification Algorithms

HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Unsupervised Cross-lingual Representation Learning for Speech Recognition

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining

TextBugger: Generating Adversarial Text Against Real-world Applications

RobBERT: a Dutch RoBERTa-based Language Model

Do Adversarially Robust ImageNet Models Transfer Better?

You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion

End-to-End Lane Marker Detection via Row-wise Classification

Few-shot Scene-adaptive Anomaly Detection

Temperate Fish Detection and Classification: a Deep Learning based Approach

Physical reservoir computing -- An introductory perspective