Reproduction code for "Putting An End to End-to-End: Gradient-Isolated Learning of Representations"

Showcases ongoing, and completed projects within various research themes.

Overview of self-supervised learning of tiny models, including distillation-based methods (aks. self-supervised distillation) and non-distillation methods.

The official implementation for paper: Revisting the Power of Prompt for Visual Tuning

SEED: Self-supervised Distillation for Visual Representation

Zero-shot image restoration with embedded Richardson-Lucy deconvolution

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"

This repo contains code used in the paper "Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection"

Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors

A self-supervised network for image denoising and watermark removal (Neural Networks 2024)

Self-supervised Video Representation learning

Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".

This is an unofficial Python demo of the Self-Supervised Label Generator (SSLG), presented in "Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. Our SSLG can be used effectively for self-supervised drivable area and road anomaly segmentation based on RGB-D data".

Library to perform image and video self-supervised learning.

Focus on Vision Representation Learning, towards Robust general vision

Pytorch Implementation of popular self-supervised models

Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation, SIGIR 2021

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

The Pytorch implementation on DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning