Is user feedback always informative? Retrieval Latent Defending for
Semi-Supervised Domain Adaptation without Source Data

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

22 July 2024

Papers citing "Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data"

11 / 11 papers shown

Title
ViLAaD: Enhancing "Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model Shuhei Tarashima Xinqi Shu Norio Tagawa VLM 46 0 0 30 Mar 2025
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime Chuhan Zhang Antoine Miech Jiajun Shen Jean-Baptiste Alayrac Pauline Luc VLM VPVLM 26 2 0 03 May 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 27 59 0 07 Mar 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 170 251 0 15 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 49 52 0 04 Dec 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 201 848 0 15 Oct 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 61 116 0 19 Apr 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 90 119 0 16 Oct 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 236 35,884 0 25 Aug 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015