Cycle Self-Training for Domain Adaptation

5 March 2021

Papers citing "Cycle Self-Training for Domain Adaptation"

9 / 109 papers shown

Title
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising Michael Schelling Pedro Hermosilla Timo Ropinski 3DPC 25 11 0 30 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 33 14 0 11 Nov 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 128 60 0 13 Sep 2021
Partial Domain Adaptation without Domain Alignment Weikai Li Songcan Chen 24 13 0 29 Aug 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 149 68 0 04 May 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 166 62 0 08 Dec 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 789 0 26 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017