Ruchika Chavhan

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Timothy M. HospedalesProfessor, University of Edinburgh; Samsung AI ResearchEmail yang diverifikasi di ed.ac.uk
Dr. Biplab BanerjeeAssociate Professor, CSRE, CMInDS, Indian Institute of Technology MumbaiEmail yang diverifikasi di iitb.ac.in
Yongshuo ZongUniversity of EdinburghEmail yang diverifikasi di ed.ac.uk
Henry GoukAssistant Professor, University of EdinburghEmail yang diverifikasi di ed.ac.uk
Subhasis ChaudhuriIndian Institute of Technology BombayEmail yang diverifikasi di ee.iitb.ac.in
Da LiSamsung AI Centre CambridgeEmail yang diverifikasi di samsung.com
Ondrej BohdalSamsung ResearchEmail yang diverifikasi di samsung.com
Ushasi ChaudhuriScientist, Tata Research Development and Design Centre (TRDDC)Email yang diverifikasi di tcs.com
Bingchen ZhaoUniversity of EdinburghEmail yang diverifikasi di ed.ac.uk
Jan StühmerHeidelberg Institute for Theoretical Studies (HITS), Karlsruhe Institute of Technology (KIT)Email yang diverifikasi di h-its.org
Anjan DuttaSenior Lecturer of Computer Science, University of SurreyEmail yang diverifikasi di surrey.ac.uk
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichEmail yang diverifikasi di helmholtz-munich.de
Tingyang YU(于挺洋)EPFLEmail yang diverifikasi di epfl.ch
Sayan RakshitPhD Student, Indian Institute of Technology BombayEmail yang diverifikasi di iitb.ac.in
Anwesh MohantySamsung Research Institute BangaloreEmail yang diverifikasi di samsung.com
Gemma RoigGoethe University FrankfurtEmail yang diverifikasi di cs.uni-frankfurt.de
Xiao Xiang ZhuTechnical University of MunichEmail yang diverifikasi di tum.de
Mehrdad YaghoobiAssociate Professor, University of EdinburghEmail yang diverifikasi di ed.ac.uk
Calum HegganMachine Learning PhD, University of EdinburghEmail yang diverifikasi di sms.ed.ac.uk
Ankit JhaResearcher and Faculty, CSE, The LNMIIT JaipurEmail yang diverifikasi di lnmiit.ac.in

Ikuti

Ruchika Chavhan

PhD student, University of Edinburgh

Email yang diverifikasi di ed.ac.uk - Beranda

Generative Models Diffusion Models Representation Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR U Chaudhuri, R Chavhan, B Banerjee, A Dutta, Z Akata Neurocomputing 514 (0925-2312), 245-255, 2022	23	2022
Fool your (vision and) language model with embarrassingly simple permutations Y Zong, T Yu, R Chavhan, B Zhao, T Hospedales arXiv preprint arXiv:2310.01651, 2023	22	2023
FRIDA—Generative feature replay for incremental domain adaptation S Rakshit, A Mohanty, R Chavhan, B Banerjee, G Roig, S Chaudhuri Computer Vision and Image Understanding 217, 103367, 2022	16	2022
Amortised invariance learning for contrastive self-supervision R Chavhan, H Gouk, J Stuehmer, C Heggan, M Yaghoobi, T Hospedales arXiv preprint arXiv:2302.12712, 2023	11	2023
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning R Chavhan, B Banerjee, XX Zhu, S Chaudhuri International Conference on Pattern Recognition (ICPR) 2020, 2020	11	2020
Meta omnium: a benchmark for general-purpose learning-to-learn O Bohdal, Y Tian, Y Zong, R Chavhan, D Li, H Gouk, L Guo, ... Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2023	9	2023
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted R Chavhan, O Bohdal, Y Zong, D Li, T Hospedales arXiv preprint arXiv:2406.18566, 2024	4	2024
ConceptPrune: Concept editing in diffusion models via skilled neuron pruning R Chavhan, D Li, T Hospedales arXiv preprint arXiv:2405.19237, 2024	4	2024
Ada-at/dt: An adversarial approach for cross-domain and cross-task knowledge transfer R Chavhan, A Jha, B Banerjee, S Chaudhuri Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021	4	2021
Quality Diversity for Visual Pre-Training R Chavhan, H Gouk, D Li, T Hospedales Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	2	2023
Evaluating the evaluators: Are validation methods for few-shot learning fit for purpose? L Shimabucoro, R Chavhan, T Hospedales, H Gouk Transactions on Machine Learning Research, 1-13, 2024		2024
Semi-supervised Multi-domain Learning for Medical Image Classification R Chavhan, B Banerjee, N Das International Conference on Recent Trends in Image Processing and Pattern …, 2022		2022
HyperInvariances: Amortizing Invariance Learning R Chavhan, H Gouk, J Stühmer, T Hospedales arXiv preprint arXiv:2207.08304, 2022		2022
Multi-Stage Semantic Graph Embeddings for Compositional Zero-Shot Learning H Kandala, R Chavhan, U Chaudhuri, B Banerjee Available at SSRN 4161333, 2022		2022
Memorization is Localized within a Small Subspace in Diffusion Models R Chavhan, O Bohdal, Y Zong, D Li, T Hospedales
Fool Your Large (Vision and) Language Models with Embarrassingly Simple Permutations Y Zong, YT YU, B Zhao, R Chavhan, T Hospedales
Supplementary for ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer R Chavhan, A Jha, B Banerjee, S Chaudhuri

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