Self-Guided Contrastive Learning for BERT Sentence Representations

Last update: Dec 04, 2022

Related tags

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

GitHub Repository

Training Structured Neural Networks Through Manifold Identification and Variance Reduction

Training Structured Neural Networks Through Manifold Identification and Variance Reduction This repository is a pytorch implementation of the Regulari

0 Dec 23, 2021

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Object Pose Estimation Demo This tutorial will go through the steps necessary to perform pose estimation with a UR3 robotic arm in Unity. You’ll gain

187 Dec 24, 2022

Python periodic table module

elemenpy Hello! elements.py is a small Python periodic table module that is used for calling certain information about an element. Installation Instal

2 Dec 27, 2021

This is a student data management application developed in Python and TKinter. It utilizes the TKinter pillow library to include images to buttons. I've separated TKinter elements into their own individual classes. The user can change the smilely face color for each button individually or by entire row.

Smiley Face Cube Display Table of Contents Project Description Getting Started Prerequisites Installation & Deployment Additional Documentation Projec

0 Aug 04, 2021

Implementation of the Point Transformer layer, in Pytorch

Point Transformer - Pytorch Implementation of the Point Transformer self-attention layer, in Pytorch. The simple circuit above seemed to have allowed

501 Jan 03, 2023

FTIR-Deep Learning - FTIR Deep Learning With Python

CANDIY-spectrum Human analyis of chemical spectra such as Mass Spectra (MS), Inf

1 Jan 03, 2022

BMN: Boundary-Matching Network

BMN: Boundary-Matching Network A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generatio

260 Dec 06, 2022

An index of recommendation algorithms that are based on Graph Neural Networks.

564 Jan 07, 2023

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Demucs Music Source Separation This is the 3rd release of Demucs (v3), featuring hybrid source separation. For the waveform only Demucs (v2): Go this

4.8k Jan 04, 2023

Reinforcement Learning for finance

Reinforcement Learning for Finance We apply reinforcement learning for stock trading. Fetch Data Example import utils # fetch symbols from yahoo fina

159 Jan 03, 2023

Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)

Covid-19 Test AI (Deep Learning - NNs) Software I developed a segmentation algorithm to understand whether Covid-19 Test Photos are positive or negati

28 Dec 04, 2021

Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer"

TSOD Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer" Usage For training, open train_test, run p

2 Dec 23, 2021

Voila - Voilà turns Jupyter notebooks into standalone web applications

Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the

4.5k Jan 03, 2023

Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras

Patches Are All You Need? - ConvMixer ConvMixer, an extremely simple model that is similar in spirit to the ViT and the even-more-basic MLP-Mixer in t

8 Oct 03, 2022

SurfEmb (CVPR 2022) - SurfEmb: Dense and Continuous Correspondence Distributions

SurfEmb SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings Rasmus Laurvig Haugard, A

56 Nov 19, 2022

This project is based on RIFE and aims to make RIFE more practical for users by adding various features and design new models

CPM 项目描述 CPM（Chinese Pretrained Models）模型是北京智源人工智能研究院和清华大学发布的中文大规模预训练模型。官方发布了三种规模的模型，参数量分别为109M、334M、2.6B，用户需申请与通过审核，方可下载。由于原项目需要考虑大模型的训练和使用，需要安装较为复杂

190 Jan 08, 2023

Self-Guided Contrastive Learning for BERT Sentence Representations

Related tags

Overview

Self-Guided Contrastive Learning for BERT Sentence Representations

Owner

Taeuk Kim

Training Structured Neural Networks Through Manifold Identification and Variance Reduction

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

Python periodic table module

Implementation of the Point Transformer layer, in Pytorch

FTIR-Deep Learning - FTIR Deep Learning With Python

BMN: Boundary-Matching Network

An index of recommendation algorithms that are based on Graph Neural Networks.

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Reinforcement Learning for finance

Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)

Code for the ICME 2021 paper "Exploring Driving-Aware Salient Object Detection via Knowledge Transfer"

Voila - Voilà turns Jupyter notebooks into standalone web applications

Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras

SurfEmb (CVPR 2022) - SurfEmb: Dense and Continuous Correspondence Distributions

This project is based on RIFE and aims to make RIFE more practical for users by adding various features and design new models

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

Code for ACL2021 paper Consistency Regularization for Cross-Lingual Fine-Tuning.

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Code for CPM-2 Pre-Train