A Survey of Deep Learning for Scientific Discovery

26 March 2020

Papers citing "A Survey of Deep Learning for Scientific Discovery"

50 / 65 papers shown

Title
The Representational Status of Deep Learning Models Eamon Duede 44 0 0 21 Mar 2023
Exploiting Verified Neural Networks via Floating Point Numerical Error Kai Jia Martin Rinard AAML 51 34 0 06 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 290 929 0 02 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 99 322 0 25 Feb 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 211 2,375 0 11 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 119 7,386 0 02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 60 432 0 01 Oct 2019
Deep learning tools for the measurement of animal behavior in neuroscience Mackenzie W. Mathis Alexander Mathis 3DV VLM 62 311 0 30 Sep 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 55 380 0 27 Sep 2019
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta Ankur Bapna Isaac Caswell N. Arivazhagan Orhan Firat LRM 156 124 0 05 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 247 185 0 03 Sep 2019
A Two-Step Graph Convolutional Decoder for Molecule Generation Xavier Bresson T. Laurent 55 61 0 08 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 151 1,463 0 03 Jun 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 51 402 0 14 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 572 4,735 0 13 May 2019
Off-Policy Policy Gradient with State Distribution Correction Yao Liu Adith Swaminathan Alekh Agarwal Emma Brunskill OffRL 82 67 0 17 Apr 2019
Massively Multilingual Neural Machine Translation Roee Aharoni Melvin Johnson Orhan Firat LRM AI4CE 56 485 0 28 Feb 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 99 4,024 0 25 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 55 980 0 14 Feb 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 76 1,931 0 31 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 120 716 0 25 Jan 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 111 5,579 0 25 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 502 10,466 0 12 Dec 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables Giovanni Sutanto J. Zech Luke Oakden-Rayner Yevgen Chebotar Manway Liu William Gale M. McConnell Ankur Handa Thomas M. Snyder Dieter Fox AI4CE OOD 62 244 0 08 Nov 2018
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 62 254 0 11 Oct 2018
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings Mohsan S. Alvi Andrew Zisserman C. Nellåker FaML 95 248 0 06 Sep 2018
Everybody Dance Now Caroline Chan Shiry Ginosar Tinghui Zhou Alexei A. Efros 70 772 0 22 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 208 3,110 0 09 Jul 2018
End-to-End Learning on 3D Protein Structure for Interface Prediction Raphael J. L. Townshend Rishi Bedi Patricia Suriana R. Dror 3DV 32 102 0 03 Jul 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 134 1,319 0 23 May 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations Sosuke Kobayashi 67 608 0 16 May 2018
Markerless tracking of user-defined features with deep learning Alexander Mathis Pranav Mamidanna Taiga Abe Kevin M. Cury V. Murthy Mackenzie W. Mathis Matthias Bethge 26 3,304 0 09 Apr 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 74 299 0 28 Mar 2018
An Analysis of Neural Language Modeling at Multiple Scales Stephen Merity N. Keskar R. Socher 48 170 0 22 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 39 446 0 15 Mar 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 123 3,299 0 24 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 107 9,312 0 09 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 76 2,761 0 09 Feb 2018
Biomedical Question Answering via Weighted Neural Network Passage Retrieval Ferenc Galkó Carsten Eickhoff MedIm RALM 21 14 0 09 Jan 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 58 1,021 0 28 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 66 2,691 0 14 Nov 2017
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images Donghuan Lu K. Popuri G. Ding R. Balachandar M. Beg MedIm 28 316 0 13 Oct 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 144 1,551 0 11 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 48 1,514 0 11 Apr 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 121 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 110 5,920 0 04 Mar 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 68 332 0 27 Feb 2017
Deep Recurrent Neural Network for Protein Function Prediction from Sequence X. Liu 46 94 0 28 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 426 10,281 0 16 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 162 2,543 0 07 Oct 2016