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Exploration of Dark Chemical Genomics Space via Portal Learning: Applied
  to Targeting the Undruggable Genome and COVID-19 Anti-Infective
  Polypharmacology

Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology

23 November 2021
Tian Cai
Li Xie
Muge Chen
Yang Liu
Di He
Shuo-feng Zhang
C. Mura
P. Bourne
Lei Xie
    OOD
ArXivPDFHTML

Papers citing "Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology"

19 / 19 papers shown
Title
Out of Distribution Generalization in Machine Learning
Out of Distribution Generalization in Machine Learning
Martín Arjovsky
OOD
CML
40
93
0
03 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
233
1,012
0
03 Mar 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
109
322
0
22 Feb 2021
Underspecification Presents Challenges for Credibility in Modern Machine
  Learning
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
109
687
0
06 Nov 2020
The Deep Bootstrap Framework: Good Online Learners are Good Offline
  Generalizers
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran
Behnam Neyshabur
Hanie Sedghi
OffRL
69
11
0
16 Oct 2020
The Risks of Invariant Risk Minimization
The Risks of Invariant Risk Minimization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
74
311
0
12 Oct 2020
Automated Synthetic-to-Real Generalization
Automated Synthetic-to-Real Generalization
Wuyang Chen
Zhiding Yu
Zhangyang Wang
Anima Anandkumar
71
68
0
14 Jul 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
379
1,974
0
11 Apr 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
346
6,448
0
26 Sep 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
177
2,222
0
05 Jul 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
236
7,638
0
01 Oct 2018
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity
  through Unified Recurrent and Convolutional Neural Networks
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
69
360
0
20 Jun 2018
DeepDTA: Deep Drug-Target Binding Affinity Prediction
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk
E. Olmez
Arzucan Özgür
98
1,076
0
30 Jan 2018
Visualizing the Loss Landscape of Neural Nets
Visualizing the Loss Landscape of Neural Nets
Hao Li
Zheng Xu
Gavin Taylor
Christoph Studer
Tom Goldstein
240
1,889
0
28 Dec 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
813
11,894
0
09 Mar 2017
Does Distributionally Robust Supervised Learning Give Robust
  Classifiers?
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
Weihua Hu
Gang Niu
Issei Sato
Masashi Sugiyama
OOD
65
60
0
07 Nov 2016
Attentive Pooling Networks
Attentive Pooling Networks
Cicero Nogueira dos Santos
Ming Tan
Bing Xiang
Bowen Zhou
70
347
0
11 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
124
1,179
0
10 Jan 2013
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