Self-Supervised Noise Embeddings (Self-SNE)
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Updated
May 27, 2024 - Jupyter Notebook
Self-Supervised Noise Embeddings (Self-SNE)
Official Implementation for the paper Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking System.
Video Foundation Models & Data for Multimodal Understanding
A python library for self-supervised learning on images.
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
Train Models Contrastively in Pytorch
Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024
RRCGAN:A Radiometric Resolution Compression Method for Optical Remote Sensing Images Using Contrastive Learning
The source code for Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. #1 on the ReClor Leaderboard and we are the first group scored above 90% on the hidden test set around the world.. The paper has been accepted by the Findings of ACL-24.
This repository implements a self-supervised learning (SSL) pipeline using PyTorch lightning, Lightly, and SimCLR model, focusing on SSL techniques.
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.
[NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
[TPAMI & ECCV 2022] Contrast-Phys & Contrast-Phys+ for facial video-based remote physiological signal measurement
Non-linear dimensionality reduction using contrastive neighbor embeddings.
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