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Tranception: protein fitness prediction with autoregressive transformers
  and inference-time retrieval

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

27 May 2022
Pascal Notin
M. Dias
J. Frazer
Javier Marchena-Hurtado
Aidan Gomez
D. Marks
Y. Gal
ArXiv (abs)PDFHTML

Papers citing "Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval"

21 / 21 papers shown
Title
MassSpecGym: A benchmark for the discovery and identification of molecules
MassSpecGym: A benchmark for the discovery and identification of molecules
Roman Bushuiev
Anton Bushuiev
Niek F. de Jonge
A. Young
Fleming Kretschmer
...
Justin J. J. van der Hooft
Michael A. Stravs
Sebastian Böcker
Josef Sivic
Tomáš Pluskal
138
5
0
17 Feb 2025
Metalic: Meta-Learning In-Context with Protein Language Models
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck
Shikha Surana
Manus McAuliffe
Oliver Bent
Thomas D. Barrett
Juan Jose Garau Luis
Paul Duckworth
AI4CE
68
1
0
10 Oct 2024
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
Yijia Xiao
Edward Sun
Yiqiao Jin
Qifan Wang
Wei Wang
83
15
0
21 Aug 2024
ProtChatGPT: Towards Understanding Proteins with Large Language Models
ProtChatGPT: Towards Understanding Proteins with Large Language Models
Chao Wang
Hehe Fan
Ruijie Quan
Yi Yang
79
15
0
15 Feb 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
108
70
0
09 Feb 2023
RITA: a Study on Scaling Up Generative Protein Sequence Models
RITA: a Study on Scaling Up Generative Protein Sequence Models
Daniel Hesslow
Niccoló Zanichelli
Pascal Notin
Iacopo Poli
D. Marks
45
99
0
11 May 2022
Improving language models by retrieving from trillions of tokens
Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud
A. Mensch
Jordan Hoffmann
Trevor Cai
Eliza Rutherford
...
Simon Osindero
Karen Simonyan
Jack W. Rae
Erich Elsen
Laurent Sifre
KELMRALM
244
1,086
0
08 Dec 2021
Primer: Searching for Efficient Transformers for Language Modeling
Primer: Searching for Efficient Transformers for Language Modeling
David R. So
Wojciech Mañke
Hanxiao Liu
Zihang Dai
Noam M. Shazeer
Quoc V. Le
VLM
251
156
0
17 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
328
774
0
27 Aug 2021
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
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
64
947
0
13 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
829
42,332
0
28 May 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
198
3,778
0
10 Apr 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
140
2,114
0
10 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
608
4,893
0
23 Jan 2020
Generalization through Memorization: Nearest Neighbor Language Models
Generalization through Memorization: Nearest Neighbor Language Models
Urvashi Khandelwal
Omer Levy
Dan Jurafsky
Luke Zettlemoyer
M. Lewis
RALM
166
837
0
01 Nov 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
94
803
0
19 Jun 2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Kenton Lee
Ming-Wei Chang
Kristina Toutanova
RALM
112
1,017
0
01 Jun 2019
Learning protein sequence embeddings using information from structure
Learning protein sequence embeddings using information from structure
Tristan Bepler
Bonnie Berger
73
290
0
22 Feb 2019
Unbounded cache model for online language modeling with open vocabulary
Unbounded cache model for online language modeling with open vocabulary
Edouard Grave
Moustapha Cissé
Armand Joulin
KELMCLL
46
63
0
07 Nov 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
725
132,199
0
12 Jun 2017
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
480
43,685
0
17 Sep 2014
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