Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
Cited alongside, same era.
Sentence-bert: Sentence embeddings using siamese bert-networks
Original
Nils Reimers and Iryna Gurevych · 2019
Cited alongside, same era.
Manifold mixup: Better representations by interpolating hidden states
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, and Yoshua Bengio · 2019
Cited alongside, same era.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Cited alongside, same era.
i-mix: A domain-agnostic strategy for contrastive representation learning
Original
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, and Honglak Lee · 2020
Cited alongside, same era.
On the sentence embeddings from pre-trained language models, 2020
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, and Lei Li · 2020
Cited alongside, same era.
Cuco: Graph representation with curriculum contrastive learning
Guanyi Chu, Xiao Wang, Chuan Shi, and Xunqiang Jiang · 2021
Cited alongside, same era.
Simcse: Simple contrastive learning of sentence embeddings
Original
Tianyu Gao, Xingcheng Yao, and Danqi Chen · 2021
Cited alongside, same era.
Dnabert: pre-trained bidirectional encoder representations from transformers model for dna-language in genome
Yanrong Ji, Zhihan Zhou, Han Liu, and Ramana V Davuluri · 2021
Cited alongside, same era.
Improved metagenome binning and assembly using deep variational autoencoders
Jakob Nybo Nissen, Joachim Johansen, Rosa Lundbye Allesøe, Casper Kaae Sønderby, Jose Juan Almagro Armenteros, Christopher Heje Grønbech, Lars Juhl Jensen, Henrik Bjørn Nielsen, Thomas Nordahl Petersen, Ole Winther, et al · 2021
Cited alongside, same era.
Pbsim2: a simulator for long-read sequencers with a novel generative model of quality scores
Yukiteru Ono, Kiyoshi Asai, and Michiaki Hamada · 2021
Cited alongside, same era.