Sayna Ebrahimi

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Tomas PfisterHead of AI Research @ Google CloudAdresse e-mail validée de google.com
Samarth SinhaUniversity of TorontoAdresse e-mail validée de mail.utoronto.ca
Edgar SchönfeldResearch Scientist at Meta GenAIAdresse e-mail validée de meta.com
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichAdresse e-mail validée de helmholtz-munich.de
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyAdresse e-mail validée de tu-darmstadt.de
Sercan O. ArikGoogleAdresse e-mail validée de google.com
Deepak PathakAssistant Professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Devin GuilloryUC BerkeleyAdresse e-mail validée de berkeley.edu
Samaneh AzadiResearch Scientist, Meta AIAdresse e-mail validée de meta.com
Mohamed Elhoseiny, Ph.D.Associate Professor, KAUST (hiring postdocs & grad students)Adresse e-mail validée de kaust.edu.sa
Colorado J ReedAppleAdresse e-mail validée de apple.com
Xiangyu YueAssistant Professor at The Chinese University of Hong KongAdresse e-mail validée de eecs.berkeley.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)Adresse e-mail validée de tu-dresden.de
Franziska MeierResearch Scientist, Facebook AI ResearchAdresse e-mail validée de fb.com
Anna RohrbachProfessor, TU Darmstadt, GermanyAdresse e-mail validée de tu-darmstadt.de

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Sayna Ebrahimi

Senior Research Scientist at Google DeepMind

Adresse e-mail validée de berkeley.edu - Page d'accueil

Machine Learning Vision and language Multimodal Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	803	2018
Variational adversarial active learning S Sinha, S Ebrahimi, T Darrell International Conference on Computer Vision (ICCV), 5972-5981, 2019	727	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	496	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	308	2022
Uncertainty-guided continual learning with bayesian neural networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2019	261*	2019
Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision (ECCV), 2020	250	2020
Predicting with Confidence on Unseen Distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt International Conference on Computer Vision (ICCV), 2021	159	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	125	2022
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	59	2020
Zero-shot reward specification via grounded natural language P Mahmoudieh, D Pathak, T Darrell International Conference on Machine Learning, 14743-14752, 2022	57	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	54	2024
Minimax Active Learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ... arXiv preprint arXiv:2012.10467, 2020	33	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	27	2015
Compositional gan: Learning conditional image composition S Azadi, D Pathak, S Ebrahimi, T Darrell	24	2018
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
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	16	2023
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
Mitigating Object Hallucination via Data Augmented Contrastive Tuning P Sarkar, S Ebrahimi, A Etemad, A Beirami, SÖ Arık, T Pfister arXiv preprint arXiv:2405.18654, 2024	8	2024

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