Wilka Carvalho 个人学术档案

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	总计	2019 年至今
引用	1117	1097
h 指数	7	7
i10 指数	6	6

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Bryant ChenSlope在 slope.so 的电子邮件经过验证
Sanjay PurushothamAssistant Professor, University of Maryland, Baltimore County在 umbc.edu 的电子邮件经过验证
Honglak LeeLG AI Research / U. Michigan在 umich.edu 的电子邮件经过验证
Yan LiuProfessor, Director of Machine Learning Center@USC在 usc.edu 的电子邮件经过验证
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of Michigan在 umich.edu 的电子邮件经过验证
Satinder SinghGoogle DeepMind / U. of Michigan在 umich.edu 的电子邮件经过验证
Sungryull SohnResearch Scientist, LG AI Research在 umich.edu 的电子邮件经过验证
Andrew Kyle LampinenResearch Scientist, DeepMind在 google.com 的电子邮件经过验证
Angelos FilosGoogle DeepMind, University of Oxford在 deepmind.com 的电子邮件经过验证
Jongwook ChoiUniversity of Michigan在 umich.edu 的电子邮件经过验证
Murray ShanahanImperial College London / DeepMind在 imperial.ac.uk 的电子邮件经过验证
Felix HillResearch Scientist, Deepmind在 google.com 的电子邮件经过验证
Kyriacos NikiforouQfin在 qfin.co 的电子邮件经过验证
Kimin LeeKAIST在 kaist.ac.kr 的电子邮件经过验证
Anthony LiangUniversity of Southern California在 usc.edu 的电子邮件经过验证
Lajanugen LogeswaranLG AI Research在 lgresearch.ai 的电子邮件经过验证
Danilo J. RezendeDirector at DeepMind在 google.com 的电子邮件经过验证
Loic MattheyDeepMind在 google.com 的电子邮件经过验证
Daniel ZoranGoogle DeepMind在 google.com 的电子邮件经过验证
Samuel GershmanProfessor, Harvard University在 fas.harvard.edu 的电子邮件经过验证

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Wilka Carvalho

其他姓名Wilka Torrico Carvalho, Wilka Torrico De Carvalho

Harvard

在 g.harvard.edu 的电子邮件经过验证 - 首页

cognitive science machine learning neuroscience


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Detecting backdoor attacks on deep neural networks by activation clustering B Chen, W Carvalho, N Baracaldo, H Ludwig, B Edwards, T Lee, I Molloy, ... arXiv preprint arXiv:1811.03728, 2018	831	2018
Variational Recurrent Adversarial Deep Domain Adaptation S Purushotham, W Carvalho, T Nilanon, Y Liu ICLR, 2017	150*	2017
Using gradients to detect backdoors in neural networks W Carvalho, B Chen, BJ Edwards, T Lee, IM Molloy, J Zhang US Patent 11,132,444, 2021	56	2021
Successor feature landmarks for long-horizon goal-conditioned reinforcement learning C Hoang, S Sohn, J Choi, W Carvalho, H Lee Advances in neural information processing systems 34, 26963-26975, 2021	30	2021
Detecting poisoning attacks on neural networks by activation clustering B Chen, W Carvalho, HH Ludwig, IM Molloy, T Lee, J Zhang, BJ Edwards US Patent 11,188,789, 2021	14	2021
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh IJCAI, 2021	11	2021
Composing task knowledge with modular successor feature approximators W Carvalho, A Filos, RL Lewis, S Singh ICLR, 2023	9	2023
Feature-attending recurrent modules for generalization in reinforcement learning W Carvalho, A Lampinen, K Nikiforou, F Hill, M Shanahan arXiv preprint arXiv:2112.08369, 2021	6	2021
Combining behaviors with the successor features keyboard WC Carvalho, A Saraiva, A Filos, A Lampinen, L Matthey, RL Lewis, ... Advances in Neural Information Processing Systems 36, 2024	4	2024
Learning compositional tasks from language instructions L Logeswaran, W Carvalho, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13300 …, 2023	4	2023
Predictive representations: building blocks of intelligence W Carvalho, MS Tomov, W de Cothi, C Barry, SJ Gershman arXiv preprint arXiv:2402.06590, 2024	2	2024
Reinforcement Learning Agents that Discover Structured Representations W Carvalho		2023

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