Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features

10 February 2023

Papers citing "Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features"

10 / 10 papers shown

Title
Generalizing Orthogonalization for Models with Non-Linearities David Rügamer Chris Kolb Tobias Weber Lucas Kook Thomas Nagler 42 0 0 03 May 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs Sepehr Dehdashtian Lan Wang Vishnu Naresh Boddeti VLM 39 11 0 22 Mar 2024
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains Rohan Myer Krishnan Zitian Tang Zhiqiu Yu Chen Sun 53 1 0 30 Nov 2023
Zero-Shot Robustification of Zero-Shot Models Dyah Adila Changho Shin Lin Cai Frederic Sala 38 18 0 08 Sep 2023
Learning Diverse Features in Vision Transformers for Improved Generalization A. Nicolicioiu Andrei Liviu Nicolicioiu B. Alexe Damien Teney 33 3 0 30 Aug 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 16 5 0 19 Jun 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 26 4 0 23 May 2023
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 213 64 0 07 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015