Topic: co-training Goto Github
Some thing interesting about co-training
Some thing interesting about co-training
co-training,Data analytics project in R to create a predictive model for the detection of objectivity in sports articles, based on co-training.
User: ansegura7
Home Page: https://ansegura7.github.io/ML_ObjectivityDetection/
co-training,
Organization: deep-co-training
co-training,Semisupervised classification methods (SSC) with Spark-ML, study and implementation
User: dguipla
co-training,Awesome Knowledge Distillation
User: dkozlov
co-training,This repository holds the implementation, for the thesis project: Improving Collaborative Filtering Techniques by the use of Co-Training in Recommender Systems. This project was done under a thesis research for Fernando Benjamín Pérez Maurera, under supervision of Professor Paolo Cremonesi and Engineer Maurizio Ferrari, at Politecnico di Milano.
User: fernandobperezm
co-training,[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
User: himashi92
Home Page: https://www.nature.com/articles/s42256-023-00682-w
co-training,[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"
User: himashi92
co-training,Code and model for "Multi-dataset Training of Transformers for Robust Action Recognition", NeurIPS 2022 Spotlight
User: junweiliang
Home Page: https://arxiv.org/abs/2209.12362
co-training,This is the public repository of EMNLP 2023 paper "DisCo: Co-training Distilled Student Models for Semi-supervised Text Mining"
Organization: litesslhub
Home Page: https://aclanthology.org/2023.emnlp-main.244/
co-training,Semi-supervised learning techniques (pseudo-label, mixmatch, and co-training) for pre-trained BERT language model amidst low-data regime based on molecular SMILES from the Molecule Net benchmark.
Organization: moleculetransformers
co-training,Official Code for our Findings of ACL 2022 paper: Co-training an Unsupervised Constituency Parser with Weak Supervision
User: nickil21
co-training,end of 2nd year of engineering project
User: safa-abidi
co-training, Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
User: sgrvinod
co-training,Audio Classification Kaggle
User: tychen5
Home Page: https://www.kaggle.com/c/freesound-audio-tagging/leaderboard
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