self-supervised-learning

The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Neural Relation Understanding: neural cardinality estimators for tabular data

Official Keras & PyTorch Implementation and Pre-trained Models for Semantic Genesis - MICCAI 2020

State-of-the-art neural cardinality estimators for join queries

A self-supervised foundation ECG model for broad and scalable cardiac applications

[ICLR 2026] Code for "gen2seg: Generative Models Enable Generalizable Instance Segmentation"

Official Keras & PyTorch Implementation and Pre-trained Models for TransVW

Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

[𝐧𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞] ImmunoStruct enables multimodal deep learning for immunogenicity prediction

A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024]

Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"

Speech to Text with self-supervised learning based on wav2vec 2.0 framework using Hugging Face's Transformer

[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization

[ICRA 2023] Official implementation of the paper "ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding"

(WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning

Official codebase for RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models