Supercharging Imbalanced Data Learning WithCausal Representation Transfer

Last update: May 02, 2022

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Deep Learning ECRT

Overview

ECRT: Energy-based Causal Representation Transfer

Code for Supercharging Imbalanced Data Learning With Energy-basedContrastive Representation Transfer (NeurIPS 2021)

Model

Prerequisites

The algorithm is built with:

Python (version 3.7 or higher)
Numpy (version 1.16 or higher)
PyTorch (version 1.3.1)

Clone the repository, e.g.:

git clone https://github.com/ZidiXiu/ECRT.git

Running the Toy Dataset

Here we present a toy synthetic dataset

python train train_CRT_toy.py

When building the CRT framework, we referenced the following sources:

Owner

Zidi Xiu

A 4th year Ph.D. student in Biostatistics at Duke University, focusing on solving healthcare problems with machine learning and deep learning methods.

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Supercharging Imbalanced Data Learning WithCausal Representation Transfer

Related tags

Overview

ECRT: Energy-based Causal Representation Transfer

Model

Prerequisites

Running the Toy Dataset

Owner

Zidi Xiu

A collection of inference modules for fastai2

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Experiments for Fake News explainability project

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Supercharging Imbalanced Data Learning WithCausal Representation Transfer

Related tags

Overview

ECRT: Energy-based Causal Representation Transfer

Model

Prerequisites

Running the Toy Dataset

Owner

Zidi Xiu

A collection of inference modules for fastai2

Time-series-deep-learning - Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot

Pytorch Implementation of "Desigining Network Design Spaces", Radosavovic et al. CVPR 2020.

Training BERT with Compute/Time (Academic) Budget

“英特尔创新大师杯”深度学习挑战赛 赛道3：CCKS2021中文NLP地址相关性任务

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Experiments for Fake News explainability project

Official implementation of "Articulation Aware Canonical Surface Mapping"

Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

Assginment for UofT CSC420: Intro to Image Understanding

Edge-aware Guidance Fusion Network for RGB-Thermal Scene Parsing

Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Ray tracing of a Schwarzschild black hole written entirely in TensorFlow.

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

A Python Package for Convex Regression and Frontier Estimation

An open source machine learning library for performing regression tasks using RVM technique.

Get started with Machine Learning with Python - An introduction with Python programming examples

Explanatory Learning: Beyond Empiricism in Neural Networks

“英特尔创新大师杯”深度学习挑战赛赛道3：CCKS2021中文NLP地址相关性任务