| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | |||||
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 10 | 11 | 12 | 13 | 14 | 15 | 16 |
| 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| 24 | 25 | 26 | 27 | 28 | 29 | 30 |
- VAE
- GNN
- Graph
- DATA
- 파이썬
- bayesian
- selenium
- uncertainty
- 코딩테스트
- 불확실성
- 크롤링
- 텍스트분석
- 우분투
- 텍스트마이닝
- 데이터분석
- 백준
- pandas
- R
- 리눅스
- 논문리뷰
- 알고리즘
- 강화학습
- YarinGal
- 빅데이터
- AI
- pytorch
- Crawling
- 베이지안
- dropout
- PYTHON
- Today
- Total
끄적거림
[zero-shot] uncertainty 관련 zero-shot 글들 본문
zero-shot이란?
논문 : https://arxiv.org/abs/2011.08641
A Review of Generalized Zero-Shot Learning Methods
Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples under the condition that some output classes are unknown during supervised learning. To address this challenging task, GZSL leverages semantic information of the seen
arxiv.org
zero-shot 설명
https://deep-learning-study.tistory.com/873?category=1027729
[논문 읽기] Zero-Shot Learning(ZSL) 이란?
새로운 분야 공부를 시작할 때, survey 논문을 먼저 보는 편인데 Zero shot에 흥미가 생겨서 survey 논문을 읽어봤다. Zero-Shot learning 에 대해 설명되어 있는 한국어 자료가 많이 없는 것 같아서 한번
deep-learning-study.tistory.com
Uncertainty를 이용한 응용
논문 : Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
https://proceedings.neurips.cc/paper/2020/hash/f73b76ce8949fe29bf2a537cfa420e8f-Abstract.html
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Requests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and discuss it with their co-authors prior to reque
proceedings.neurips.cc
위 논문에 대한 설명
https://deep-learning-study.tistory.com/884
[논문 읽기] Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation(2020)
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation PDF, Zero-Shot Segmentation, Xizhou et al, neurips 2020 Summary 논문에서 지적하는 문제점 (1) training set에 noise가 존재 왜? 이..
deep-learning-study.tistory.com
'개인 공부 정리 > Bayesian' 카테고리의 다른 글
| [논문 소개] Don’t Blame the ELBO!A Linear VAE Perspective on Posterior Collapse (0) | 2021.10.22 |
|---|---|
| [Adversarial] uncertainty based adversarial sample (0) | 2021.10.19 |
| [Calibration] Temperated Scaling에 관하여 (0) | 2021.10.17 |
| [논문 소개] Stochastic gradient Markov chain Monte Carlo (0) | 2021.10.09 |
| [논문 소개] Cold Posterior Effect 관련 논문들 (7) | 2021.10.09 |
