Sayna Ebrahimi

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Tomas PfisterHead of AI Research @ Google CloudPreverjeni e-poštni naslov na google.com
Samarth SinhaUniversity of TorontoPreverjeni e-poštni naslov na mail.utoronto.ca
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyPreverjeni e-poštni naslov na tu-darmstadt.de
Edgar SchönfeldResearch Scientist at Meta GenAIPreverjeni e-poštni naslov na meta.com
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichPreverjeni e-poštni naslov na helmholtz-munich.de
Sercan O. ArikGooglePreverjeni e-poštni naslov na google.com
Deepak PathakAssistant Professor, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cs.cmu.edu
Devin GuilloryUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Mohamed Elhoseiny, Ph.D.Associate Professor, KAUST (hiring postdocs & grad students)Preverjeni e-poštni naslov na kaust.edu.sa
Samaneh AzadiResearch Scientist, Meta AIPreverjeni e-poštni naslov na meta.com
Colorado J ReedApplePreverjeni e-poštni naslov na apple.com
Xiangyu YueAssistant Professor at The Chinese University of Hong KongPreverjeni e-poštni naslov na eecs.berkeley.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)Preverjeni e-poštni naslov na tu-dresden.de
Franziska MeierResearch Scientist, Facebook AI ResearchPreverjeni e-poštni naslov na fb.com
Anna RohrbachProfessor, TU Darmstadt, GermanyPreverjeni e-poštni naslov na tu-darmstadt.de

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Sayna Ebrahimi

Senior Research Scientist at Google DeepMind

Preverjeni e-poštni naslov na berkeley.edu - Domača stran

Machine Learning Vision and language Multimodal Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata Conference on Computer Vision and Pattern Recognition (CVPR) 2019, 2018	815	2018
Variational adversarial active learning S Sinha, S Ebrahimi, T Darrell International Conference on Computer Vision (ICCV), 5972-5981, 2019	731	2019
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision (ECCV) 2022, 2022	554	2022
Compositional gan: Learning image-conditional binary composition S Azadi, D Pathak, S Ebrahimi, T Darrell International Journal of Computer Vision 128 (10), 2570-2585, 2020	323	2020
Contrastive Test-Time Adaptation D Chen, D Wang, T Darrell, S Ebrahimi Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022	322	2022
Uncertainty-guided continual learning with bayesian neural networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2019	271	2019
Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision (ECCV), 2020	263	2020
Predicting with Confidence on Unseen Distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt International Conference on Computer Vision (ICCV), 2021	163	2021
Self-supervised pretraining improves self-supervised pretraining CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2584-2594, 2022	128	2022
Continual learning of large language models: A comprehensive survey H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang, Z Wang, S Ebrahimi, ... arXiv preprint arXiv:2404.16789, 2024	63	2024
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting S Ebrahimi, S Petryk, A Gokul, W Gan, JE Gonzalez, M Rohrbach, ... International Conference on Learning Representations (ICLR), 2020	61	2020
Zero-shot reward specification via grounded natural language P Mahmoudieh, D Pathak, T Darrell International Conference on Machine Learning, 14743-14752, 2022	59	2022
Minimax Active Learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ... arXiv preprint arXiv:2012.10467, 2020	32	2020
Gradient-free policy architecture search and adaptation S Ebrahimi, A Rohrbach, T Darrell Conference on Robot Learning (CoRL) 2017, 505--514, 2017	32	2017
Peridynamics analysis of the nanoscale friction and wear properties of amorphous carbon thin films S Ebrahimi, D Steigmann, K Komvopoulos Journal of Mechanics of Materials and Structures 10 (5), 559-572, 2015	28	2015
Compositional gan: Learning conditional image composition S Azadi, D Pathak, S Ebrahimi, T Darrell	24	2018
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs J Chen, J Yoon, S Ebrahimi, SO Arik, T Pfister, S Jha Findings of EMNLP (2023), 2023	21	2023
Beyond invariance: test-time label-shift adaptation for addressing" spurious" correlations Q Sun, KP Murphy, S Ebrahimi, A D'Amour Advances in Neural Information Processing Systems 36, 23789-23812, 2023	19*	2023
Mitigating object hallucination via data augmented contrastive tuning P Sarkar, S Ebrahimi, A Etemad, A Beirami, SÖ Arık, T Pfister arXiv e-prints, arXiv: 2405.18654, 2024	14	2024
Dynamic analysis of cracks using the SGBEM for elastodynamics in the Laplace-space frequency domain S Ebrahimi, AV Phan Engineering Analysis with Boundary Elements 37 (11), 1378-1391, 2013	14	2013

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