Topic: self-training Goto Github
Some thing interesting about self-training
Some thing interesting about self-training
self-training,SLAM-Supported Semi-Supervised Learning for 6D Object Pose Estimation
User: 520xyxyzq
self-training,Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
Organization: batsresearch
Home Page: https://openreview.net/pdf?id=2b9aY2NgXE
self-training,IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
User: bupt-ai-cz
self-training,Tek başına repo olamayacak, farklı konularda ve anlık olarak karşıma çıkan durumlara istinaden ele aldığım kod parçalarını toplamayı düşündüğüm alandır.
User: buraksenyurt
self-training,BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
User: cliang1453
self-training,A tool to learn addition and multiplication tables
User: cverine
self-training,Pytorch implementation of our paper: Adapting OCR with Limited Labels
User: deepayan137
self-training,[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
User: emadeldeen24
self-training,Deep Bayesian Self-Training [official implementation]
User: fabio-deep
self-training,PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
User: fcjian
self-training,Trends and Applications of Computer Vision - UniTN - Prof. Sebe - MSc AIS 2022
User: filippodaniotti
self-training,:speech_balloon: Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"
User: gicheonkang
self-training,PyTorch implementation of Self-training approch for short text clustering
User: goamegah
self-training,Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
User: hhb072
self-training,Improving Human Activity Recognition through Self-training with Unlabeled Data
User: iantangc
self-training,bsuir, informatics and programming technologies, 2014-2018. bsuir, processing of large volumes of information, 2018-2020
User: keipa
self-training,Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
User: kennethborup
self-training,Codes for our paper "Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation" (IJCAI 2022)
User: kepei1106
self-training,Python tasks for self-study.
User: krasoffski
self-training,[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
User: liheyoung
Home Page: https://arxiv.org/abs/2106.05095
self-training,Synthetic QA generation for long documents.
User: luohongyin
self-training,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
User: moon-hotel
self-training,[EACL 2021] Self-training Pretrained LMs for Zero- and Few-shot Arabic Sequence Labeling
User: mukhal
Home Page: https://arxiv.org/abs/2101.04758
self-training,Official Code for our Findings of ACL 2022 paper: Co-training an Unsupervised Constituency Parser with Weak Supervision
User: nickil21
self-training,A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Organization: nusnlp
Home Page: https://arxiv.org/abs/2202.10948
self-training,Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
Organization: p-lambda
Home Page: https://worksheets.codalab.org/worksheets/0x2613c72d4f3f4fbb94e0a32c17ce5fb0
self-training,Applied NoisyStudent in training the task of Inbed Classification
User: pducanh2000
self-training,[AAAI 2023] This is the code for our paper `Neighborhood-Regularized Self-Training for Learning with Few Labels'.
User: ritaranx
self-training,Some interactive questions for Java beginners.
User: ruraj
self-training,PyTorch code for MUST
Organization: salesforce
self-training,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.
User: tebmer
self-training,Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.
Organization: thu-da-6d-pose-group
self-training,Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
Organization: thu-esis
Home Page: https://doi.org/10.1080/17538947.2022.2107098
self-training,Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Organization: thuml
Home Page: http://transfer.thuml.ai
self-training,Audio Classification Kaggle
User: tychen5
Home Page: https://www.kaggle.com/c/freesound-audio-tagging/leaderboard
self-training,Classic Self-Training for Few Shot Text Classification
User: woaksths
self-training,Weak Supervision Based Self Training for Few Shot Text Classification
User: woaksths
self-training,Implementation of our paper "Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation" to appear in ACL-2021.
User: wxjiao
self-training,This repository contains the data and code for the paper "Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation" (EMNLP2022-Findings).
User: wyu-du
Home Page: https://arxiv.org/abs/2205.09661
self-training,Implementation of COLING 2022 paper "Adaptive Unsupervised Self-training for Disfluency Detection"
User: wyxstriker
self-training,Deep learning toolkit for building handwritten word recognition system without labeled data
User: x-raylaser
self-training,Pay your attention into 1000 hours, and you can master anything you need.
User: xiaolai
Home Page: https://1000h.org
self-training,Official implementation of paper "RelationMatch: Matching In-batch Relationships for Semi-supervised Learning" (https://arxiv.org/abs/2305.10397)
User: yifanzhang-pro
Home Page: https://arxiv.org/abs/2305.10397
self-training,[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.
User: yueyu1030
Home Page: https://arxiv.org/pdf/2010.07835.pdf
self-training,[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
User: yumeng5
self-training,Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18
User: yzou2
self-training,Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
User: yzou2
self-training,[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Organization: zjunlp
Home Page: https://zjunlp.github.io/project/LREBench
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