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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30,361 to 30,420 of 32,696

$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu +2
cs.CRcs.LGarXiv:2001.02334v12020
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
cs.LGstat.MLarXiv:2004.11791v22020
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian +2
cs.LGstat.MLarXiv:1810.11730v32018
Improved Deep Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:2006.09043v22020
MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020
Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
cs.LGcs.CVstat.MLarXiv:2006.07589v22020
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang +3
cs.CLcs.LGarXiv:1912.11637v12019
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Paul Michel, Graham Neubig
cs.LGcs.CLcs.CRarXiv:2004.06660v12020
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
cs.LGcs.AIstat.MLarXiv:1910.07207v22019
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield +5
cs.CVcs.LGeess.IVarXiv:2005.00673v12020
giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
Guillaume Tauzin, Umberto Lupo, Lewis Tunstall +6
cs.LGmath.ATstat.MLarXiv:2004.02551v22020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images
Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani +3
cs.CVcs.LGeess.IVarXiv:2004.02696v22020
Aligning Superhuman AI with Human Behavior: Chess as a Model System
Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1
cs.AIcs.CYcs.LGarXiv:2006.01855v32020
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:1911.11174v22019
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell +10
eess.IVcs.CVcs.LGarXiv:2006.01174v32020
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
eess.IVcs.CVcs.LGarXiv:1909.12912v12019
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
Shaoshi Ling, Yuzong Liu, Julian Salazar +1
eess.AScs.CLcs.LGarXiv:1912.01679v22019
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3
cs.CYcs.AIcs.LGarXiv:1912.00782v22019
A Light CNN for detecting COVID-19 from CT scans of the chest
Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
eess.IVcs.CVcs.LGarXiv:2004.12837v12020
Code Prediction by Feeding Trees to Transformers
Seohyun Kim, Jinman Zhao, Yuchi Tian +1
cs.SEcs.LGarXiv:2003.13848v42020
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
eess.IVcs.CVcs.LGarXiv:1911.09098v12019
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation
Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen +1
stat.APcs.LGarXiv:2005.14263v12020
DaST: Data-free Substitute Training for Adversarial Attacks
Mingyi Zhou, Jing Wu, Yipeng Liu +2
cs.CRcs.CVcs.LGarXiv:2003.12703v22020
Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things
Maede Zolanvari, Marcio A. Teixeira, Lav Gupta +2
cs.CRcs.LGcs.NIarXiv:1911.05771v12019
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen +5
cs.CRcs.LGarXiv:2006.01043v22020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2005.11295v12020
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
Shikib Mehri, Maxine Eskenazi
cs.CLcs.LGarXiv:2005.00456v12020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Jared Willard, Xiaowei Jia, Shaoming Xu +2
physics.comp-phcs.LGstat.MLarXiv:2003.04919v62020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
cs.LGcs.CVeess.IVarXiv:2003.13865v32020
TREC CAsT 2019: The Conversational Assistance Track Overview
Jeffrey Dalton, Chenyan Xiong, Jamie Callan
cs.IRcs.CLcs.LGarXiv:2003.13624v12020
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
cs.CLcs.LGarXiv:2005.10200v22020
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning
Milad Nasr, Alireza Bahramali, Amir Houmansadr
cs.CRcs.LGarXiv:1808.07285v12018
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
eess.IVcs.CVcs.LGarXiv:2004.03747v32020
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper +8
cs.CLcs.AIcs.LGarXiv:1909.02027v12019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga, Jungo Kasai, Rui Zhang +4
cs.CLcs.IRcs.LGarXiv:1909.01716v32019
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
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal +5
cs.CLcs.LGstat.MLarXiv:1910.13461v12019
Summaries:한국어
Teaching Temporal Logics to Neural Networks
Christopher Hahn, Frederik Schmitt, Jens U. Kreber +2
cs.LOcs.AIcs.LGarXiv:2003.04218v32020
Unpaired Motion Style Transfer from Video to Animation
Kfir Aberman, Yijia Weng, Dani Lischinski +2
cs.GRcs.CVcs.LGarXiv:2005.05751v12020
What is the State of Neural Network Pruning?
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle +1
cs.LGstat.MLarXiv:2003.03033v12020
Hierarchical Regression Network for Spectral Reconstruction from RGB Images
Yuzhi Zhao, Lai-Man Po, Qiong Yan +2
eess.IVcs.CVcs.LGarXiv:2005.04703v12020
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield +1
cs.CVcs.CLcs.HCarXiv:2003.13830v12020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao, Chen Sun, Hang Zhao +4
cs.CVcs.LGstat.MLarXiv:2005.04259v12020
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li, Eric Wallace, Sheng Shen +4
cs.CLcs.LGarXiv:2002.11794v22020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5
eess.IVcs.CVcs.LGarXiv:2004.14133v42020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn, Dale R. Durran, Rich Caruana
physics.ao-phcs.LGstat.MLarXiv:2003.11927v12020
Few-shot Text Classification with Distributional Signatures
Yujia Bao, Menghua Wu, Shiyu Chang +1
cs.CLcs.LGarXiv:1908.06039v32019
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Ji Xin, Raphael Tang, Jaejun Lee +2
cs.CLcs.LGarXiv:2004.12993v12020
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli, Yoshua Bengio
eess.AScs.LGcs.SDarXiv:1808.00158v32018
RadixSpline: A Single-Pass Learned Index
Andreas Kipf, Ryan Marcus, Alexander van Renen +4
cs.DBcs.LGarXiv:2004.14541v22020
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Husein Perez, Joseph H. M. Tah, Amir Mosavi
cs.CVcs.AIcs.LGarXiv:1908.04392v12019
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase +1
cs.LGcs.DCstat.MLarXiv:1910.02054v32019
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi, Michael Collins +4
cs.CLcs.LGarXiv:2003.05002v12020
Summaries:한국어
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:2002.11497v22020
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar, Ali Etemad
eess.SPcs.LGstat.MLarXiv:2002.03898v22020
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020

Machine Learning

$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection

A Review on Deep Learning Techniques for Video Prediction

Federated learning with hierarchical clustering of local updates to improve training on non-IID data

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Improved Deep Point Cloud Geometry Compression

MedDialog: Two Large-scale Medical Dialogue Datasets

Adversarial Self-Supervised Contrastive Learning

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

Weight Poisoning Attacks on Pre-trained Models

Soft Actor-Critic for Discrete Action Settings

Rethinking the Value of Network Pruning

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images

Aligning Superhuman AI with Human Behavior: Chess as a Model System

DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

The impact of patient clinical information on automated skin cancer detection

Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition

PointPainting: Sequential Fusion for 3D Object Detection

The relationship between trust in AI and trustworthy machine learning technologies

A Light CNN for detecting COVID-19 from CT scans of the chest

Code Prediction by Feeding Trees to Transformers

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation

Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation

DaST: Data-free Substitute Training for Adversarial Attacks

Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

TREC CAsT 2019: The Conversational Assistance Track Overview

BERTweet: A pre-trained language model for English Tweets

DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

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

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Teaching Temporal Logics to Neural Networks

Unpaired Motion Style Transfer from Video to Animation

What is the State of Neural Network Pruning?

Hierarchical Regression Network for Spectral Reconstruction from RGB Images

Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

Few-shot Text Classification with Distributional Signatures

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

Speaker Recognition from Raw Waveform with SincNet

RadixSpline: A Single-Pass Learned Index

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

Self-supervised ECG Representation Learning for Emotion Recognition

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays