This repository is the implementation of Direct-Effect Risk Minimization for Domain Generalization. DRM consists of two stages: learning an indirect-effect representation in stage 1 and removing the indirect effects in stage 2. Main Results Test accuracy of o.o.d. algorithms on 5 correlation-shifte...
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu ...
This codebase is the official implementation ofAdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation(ICML, 2023), andDomain-Specific Risk Minimization for Out-of-Distribution Generalization(SIGKDD, 2023) This codebase is mainly based onDomainBed, andT3A. ...
DRM (KDD 2023, #OOD): Code | Domain-Specific Risk Minimization for Out-of-Distribution Generalization DDLearn (KDD 2023, #OOD): Code | Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning SDMix (IMWUT 2022, #OOD): Code | Semantic-Discriminative ...
DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks. USENIX Security 2021. Query Data Selection Method to reduce the query [pdf] Entangled Watermarks as a Defense against Model Extraction. USENIX Security 2021. Backdoor as watermark against model extraction [pdf]...
deep-learningtransfer-learningknowledge-distillationdomain-adaptationcontinual-learningdomain-generalizationcoredacmmmacmmm2021 UpdatedNov 9, 2023 Python This paper is accepted by ACM MM'23 acmmmacmmm2023low-light-imaingcolor-mono-cameras UpdatedNov 28, 2023 ...
test-time-adaptationsource-free-domain-adaptation UpdatedApr 6, 2024 Python This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM. machine-learningrobustnessdomain-generalizationtest-time-adaptation UpdatedApr 16, 2024 ...
A comprehensive review on the perspective of treating analogy as cross-domain generalization. Emergence of analogy from relation learning - Proceedings of the National Academy of Sciences, 2019. [All Versions]. Analogy feature in language models. Analogies Explained: Towards Understanding Word ...
On the Complexity of Bayesian Generalization - ICML'23, 2023. [All Versions]. [Code]. [Models]. This work studies the two computation modes of concept generalization in the natural visual spectrum, i.e., rule-based and similarity-based generalization, when the problem space scales up and whe...
DRM (KDD 2023, #OOD): Code | Domain-Specific Risk Minimization for Out-of-Distribution Generalization DDLearn (KDD 2023, #OOD): Code | Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning SDMix (IMWUT 2022, #OOD): Code | Semantic-Discriminative ...