17 results for “topic:constrastive-learning”
OpenMMLab Pre-training Toolbox and Benchmark
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender 🌱
Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval
Implementation of Contrastive Predictive Coding for Natural Language
CALM (Contrastive Alignment of Language and Music) aligns songs with their natural language description using CLIP (Project for the 1st Sound of AI Hackathon).
Semi-supervised SimCLR for TTT++
Official implementation of the EACL Findings 2024 paper: Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Pytorch Implementation of One Shot Learning for Face Recognition
Foundation model for MHC class I peptide binding prediction built on deep contrastive learning.
Multimodal Machine Learning for Soft High-k, Low-Modulus Polymers under Data Scarcity
No description provided.
SimSearch is a self-supervised learning based image retrieval system that learns visual representations from unlabeled images and performs semantic image similarity search using vector embeddings
an implementation of unsupervised core-set selection