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ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

13 July 2020
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
Llion Jones
Tom Gibbs
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
    DRL
ArXivPDFHTML

Papers citing "ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing"

36 / 36 papers shown
Title
Protein sequence classification using natural language processing techniques
Protein sequence classification using natural language processing techniques
Huma Perveen
Julie Weeds
34
0
0
06 Sep 2024
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
98
62
0
09 Feb 2023
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
480
2,051
0
28 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
498
41,106
0
28 May 2020
ProGen: Language Modeling for Protein Generation
ProGen: Language Modeling for Protein Generation
Ali Madani
Bryan McCann
Nikhil Naik
N. Keskar
N. Anand
Raphael R. Eguchi
Po-Ssu Huang
R. Socher
40
278
0
08 Mar 2020
Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
Nikita Kitaev
Lukasz Kaiser
Anselm Levskaya
VLM
159
2,279
0
13 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
261
42,038
0
03 Dec 2019
Pre-Training of Deep Bidirectional Protein Sequence Representations with
  Structural Information
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information
Seonwoo Min
Seunghyun Park
Siwon Kim
Hyun-Soo Choi
Byunghan Lee
Sungroh Yoon
SSL
36
62
0
25 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
265
19,824
0
23 Oct 2019
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
266
6,420
0
26 Sep 2019
Attention Interpretability Across NLP Tasks
Attention Interpretability Across NLP Tasks
Shikhar Vashishth
Shyam Upadhyay
Gaurav Singh Tomar
Manaal Faruqui
XAI
MILM
76
176
0
24 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
288
1,861
0
17 Sep 2019
On the Variance of the Adaptive Learning Rate and Beyond
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
ODL
152
1,894
0
08 Aug 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
183
8,386
0
19 Jun 2019
Evaluating Protein Transfer Learning with TAPE
Evaluating Protein Transfer Learning with TAPE
Roshan Rao
Nicholas Bhattacharya
Neil Thomas
Yan Duan
Xi Chen
John F. Canny
Pieter Abbeel
Yun S. Song
SSL
79
786
0
19 Jun 2019
A Multiscale Visualization of Attention in the Transformer Model
A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig
ViT
58
571
0
12 Jun 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
73
1,880
0
23 Apr 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You
Jing Li
Sashank J. Reddi
Jonathan Hseu
Sanjiv Kumar
Srinadh Bhojanapalli
Xiaodan Song
J. Demmel
Kurt Keutzer
Cho-Jui Hsieh
ODL
163
991
0
01 Apr 2019
Learning protein sequence embeddings using information from structure
Learning protein sequence embeddings using information from structure
Tristan Bepler
Bonnie Berger
51
286
0
22 Feb 2019
ProteinNet: a standardized data set for machine learning of protein
  structure
ProteinNet: a standardized data set for machine learning of protein structure
Mohammed AlQuraishi
PINN
28
136
0
01 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
138
3,714
0
09 Jan 2019
A Closer Look at Deep Learning Heuristics: Learning rate restarts,
  Warmup and Distillation
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Deepak Gotmare
N. Keskar
Caiming Xiong
R. Socher
ODL
53
275
0
29 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
953
93,936
0
11 Oct 2018
TFLMS: Large Model Support in TensorFlow by Graph Rewriting
TFLMS: Large Model Support in TensorFlow by Graph Rewriting
Tung D. Le
Haruki Imai
Yasushi Negishi
K. Kawachiya
GNN
53
45
0
05 Jul 2018
Horovod: fast and easy distributed deep learning in TensorFlow
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev
Mike Del Balso
59
1,218
0
15 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
109
11,520
0
15 Feb 2018
PowerAI DDL
PowerAI DDL
Minsik Cho
Ulrich Finkler
Sameer Kumar
David S. Kung
Vaibhav Saxena
D. Sreedhar
AI4CE
21
47
0
07 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
443
129,831
0
12 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
181
4,619
0
16 Apr 2017
FastText.zip: Compressing text classification models
FastText.zip: Compressing text classification models
Armand Joulin
Edouard Grave
Piotr Bojanowski
Matthijs Douze
Hervé Jégou
Tomas Mikolov
MQ
67
1,201
0
12 Dec 2016
Extreme Scale-out SuperMUC Phase 2 - lessons learned
Extreme Scale-out SuperMUC Phase 2 - lessons learned
Nicolay J. Hammer
F. Jamitzky
H. Satzger
M. Allalen
A. Block
...
H. Stüben
A. Deshmukh
Tobias Falkenstein
K. Dolag
Margarita Petkova
16
7
0
06 Sep 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
176
11,135
0
14 Mar 2016
Protein secondary structure prediction using deep convolutional neural
  fields
Protein secondary structure prediction using deep convolutional neural fields
Sheng Wang
Jian-wei Peng
Jianzhu Ma
Jinbo Xu
3DV
47
514
0
02 Dec 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
388
27,205
0
01 Sep 2014
One Billion Word Benchmark for Measuring Progress in Statistical
  Language Modeling
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba
Tomas Mikolov
M. Schuster
Qi Ge
T. Brants
P. Koehn
T. Robinson
118
1,099
0
11 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
296
33,445
0
16 Oct 2013
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