Self-Guided Contrastive Learning for BERT Sentence Representations

Last update: Dec 04, 2022

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Overview

Self-Guided Contrastive Learning for BERT Sentence Representations

This repository is dedicated for releasing the implementation of the models utilized in the paper named Self-Guided Contrastive Learning for BERT Sentence Representations (ACL 21).

Unfortunately, I'm still on the way of polishing my code for making it public.

Please stay tuned for update!

Thank you.

Owner

Taeuk Kim

Assistant Professor at Hanyang University. B.S. & Ph.D. at Seoul National University. Research Interests: NLP, Machine Learning, Deep Learning

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Self-Guided Contrastive Learning for BERT Sentence Representations

Related tags

Overview

Self-Guided Contrastive Learning for BERT Sentence Representations

Owner

Taeuk Kim

Chess reinforcement learning by AlphaGo Zero methods.

Differentiable molecular simulation of proteins with a coarse-grained potential

A scikit-learn compatible neural network library that wraps PyTorch

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Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"

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Code for "Learning Graph Cellular Automata"

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Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at [email protected]

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