Eric Anthony Mitchell

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Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Verified email at princeton.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Volkan IslerProfessor, University of MinnesotaVerified email at umn.edu
Ben EisnerML/Robotics Researcher, PhD Student at Carnegie MellonVerified email at andrew.cmu.edu
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchVerified email at alum.mit.edu
Selim EnginPhD Student, University of MinnesotaVerified email at umn.edu
Riley Simmons-EdlerPhD Student, Princeton UniversityVerified email at princeton.edu
Antoine BosselutEPFLVerified email at epfl.ch
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Daewon LeeSamsung AI Center NYVerified email at seas.upenn.edu
Xue Bin PengSimon Fraser University, NVIDIAVerified email at sfu.ca
Rafael Mitkov RafailovGraduate Student, Stanford UniversityVerified email at stanford.edu
Sergiy PopovychPhD Candidate in CS, Princeton UniversityVerified email at zetta.ai
Kevin ChenStanford UniversityVerified email at cs.stanford.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Suraj NairStanford UniversityVerified email at cs.stanford.edu
Tarik TosunResearch Engineer, WaymoVerified email at google.com
Bhoram LeeSRI InternationalVerified email at sri.com
Jinwook HuhSamsung AI Center, NYVerified email at alumni.upenn.edu

Eric Anthony Mitchell

PhD Student, Stanford University

Verified email at stanford.edu - Homepage

meta-learning continual learning nlp


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
FlyWire: online community for whole-brain connectomics S Dorkenwald, CE McKellar, T Macrina, N Kemnitz, K Lee, R Lu, J Wu, ... Nature methods 19 (1), 119-128, 2022	76	2022
Fast model editing at scale E Mitchell, C Lin, A Bosselut, C Finn, CD Manning ICLR 2022, 2021	55	2021
Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, AL Bodor, D Brittain, ... BioRxiv, 2021.07. 28.454025, 2021	45	2021
Offline Meta-Reinforcement Learning with Advantage Weighting E Mitchell, R Rafailov, XB Peng, S Levine, C Finn ICML 2021, 2021	42	2021
Learning language-conditioned robot behavior from offline data and crowd-sourced annotation S Nair, E Mitchell, K Chen, S Savarese, C Finn Conference on Robot Learning, 1303-1315, 2022	28	2022
Higher-Order Function Networks for Learning Composable 3D Object Representations E Mitchell, S Engin, V Isler, DD Lee International Conference on Learning Representations, 2020	17	2020
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies R Simmons-Edler, B Eisner, E Mitchell, S Seung, D Lee RL for Real Life Workshop, International Conference on Machine Learning, 2019	16	2019
Petascale neural circuit reconstruction: automated methods T Macrina, K Lee, R Lu, NL Turner, J Wu, S Popovych, W Silversmith, ... bioRxiv, 2021.08. 04.455162, 2021	14	2021
Siamese encoding and alignment by multiscale learning with self-supervision E Mitchell, S Keselj, S Popovych, D Buniatyan, HS Seung arXiv preprint arXiv:1904.02643, 2019	13	2019
Memory-Based Model Editing at Scale E Mitchell, C Lin, A Bosselut, CD Manning, C Finn ICML 2022, 2022	8	2022
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner T Tosun, E Mitchell, B Eisner, J Huh, B Lee, D Lee, V Isler, HS Seung, ... International Conference on Intelligent Robots and Systems (IROS), 2019	8	2019
Reward Prediction Error as an Exploration Objective in Deep RL R Simmons-Edler, B Eisner, D Yang, A Bisulco, E Mitchell, S Seung, ... International Joint Conference on Artificial Intelligence (IJCAI-20), 2020	7*	2020
Higher Order Function Networks for View Planning and Multi-View Reconstruction S Engin, E Mitchell, D Lee, V Isler, DD Lee International Conference on Robotics and Automation (ICRA), 2020	4	2020
Challenges of acquiring compositional inductive biases via meta-learning E Mitchell, C Finn, C Manning AAAI Workshop on Meta-Learning and MetaDL Challenge, 138-148, 2021	3	2021
Self-destructing models: Increasing the costs of harmful dual uses in foundation models E Mitchell, P Henderson, CD Manning, D Jurafsky, C Finn arXiv preprint arXiv:2211.14946, 2022	2	2022
Petascale pipeline for precise alignment of images from serial section electron microscopy S Popovych, T Macrina, N Kemnitz, M Castro, B Nehoran, Z Jia, JA Bae, ... bioRxiv, 2022.03. 25.485816, 2022	2	2022
Higher-order function networks for learning composable three-dimensional (3D) object and operating method thereof E Mitchell, S Engin, V Isler, D Lee US Patent 10,922,877, 2021	2	2021
Geodesic-HOF: 3D Reconstruction Without Cutting Corners Z Wang, EA Mitchell, V Isler, DD Lee AAAI Conference on Artificial Intelligence, 2021	2	2021
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference E Mitchell, JJ Noh, S Li, WS Armstrong, A Agarwal, P Liu, C Finn, ... EMNLP 2022, 2022	1	2022
Quantitative Census of Local Somatic Features in Mouse Visual Cortex L Elabbady, S Seshamani, S Mu, G Mahalingam, CM Schneider-Mizell, ... bioRxiv, 2022.07. 20.499976, 2022	1	2022

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