Implementation of COLING 2022 paper "Adaptive Unsupervised Self-training for Disfluency Detection"
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Updated
Jun 4, 2024 - Python
Implementation of COLING 2022 paper "Adaptive Unsupervised Self-training for Disfluency Detection"
PyTorch implementation of Self-training approch for short text clustering
Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
Tek başına repo olamayacak, farklı konularda ve anlık olarak karşıma çıkan durumlara istinaden ele aldığım kod parçalarını toplamayı düşündüğüm alandır.
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Pay your attention into 1000 hours, and you can master anything you need.
Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
Pytorch implementation of our paper: Adapting OCR with Limited Labels
💬 Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
SGCP: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks
A PyTorch implementation of Google Research's Noisy Student Training. Applied on training a series of ResNets on Food101 image classification dataset
Official implementation of paper "RelationMatch: Matching In-batch Relationships for Semi-supervised Learning" (https://arxiv.org/abs/2305.10397)
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling
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