Eric Anthony Mitchell

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Chelsea FinnStanford University, Physical IntelligenceGeverifieerd e-mailadres voor cs.stanford.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Archit SharmaPhD Student, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Rafael Mitkov RafailovGraduate Student, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Stefano ErmonStanford UniversityGeverifieerd e-mailadres voor cs.stanford.edu
Antoine BosselutEPFLGeverifieerd e-mailadres voor epfl.ch
Yoonho LeePhD Student, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Geverifieerd e-mailadres voor princeton.edu
Huaxiu YaoAssistant Professor of Computer Science and Data Science, UNC Chapel HillGeverifieerd e-mailadres voor cs.unc.edu
Volkan IslerProfessor, The University of Texas at AustinGeverifieerd e-mailadres voor cs.utexas.edu
Ben EisnerML/Robotics Researcher, PhD Student at Carnegie MellonGeverifieerd e-mailadres voor andrew.cmu.edu
Daniel D. LeeTisch University Professor of ECE, Cornell UniversityGeverifieerd e-mailadres voor alum.mit.edu
Riley Simmons-EdlerPhD Student, Princeton UniversityGeverifieerd e-mailadres voor princeton.edu
Sergey LevineUC Berkeley, Physical IntelligenceGeverifieerd e-mailadres voor eecs.berkeley.edu
Allan ZhouGoogle DeepMindGeverifieerd e-mailadres voor stanford.edu
Selim EnginSonyGeverifieerd e-mailadres voor umn.edu
Kevin ChenAppleGeverifieerd e-mailadres voor apple.com
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Suraj NairPhysical IntelligenceGeverifieerd e-mailadres voor physicalintelligence.company
Xue Bin PengAssistant Professor at Simon Fraser University, Research Scientist at NVIDIAGeverifieerd e-mailadres voor sfu.ca

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Eric Anthony Mitchell

PhD Candidate, Stanford University

Geverifieerd e-mailadres voor stanford.edu - Homepage

meta-learning continual learning nlp


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Direct preference optimization: Your language model is secretly a reward model R Rafailov, A Sharma, E Mitchell, S Ermon, CD Manning, C Finn Neural Information Processing Systems (NeurIPS), 2023	2355	2023
Detectgpt: Zero-shot machine-generated text detection using probability curvature E Mitchell, Y Lee, A Khazatsky, CD Manning, C Finn International Conference on Machine Learning (ICML), 2023	571	2023
Fast model editing at scale E Mitchell, C Lin, A Bosselut, C Finn, CD Manning International Conference on Learning Representations (ICLR), 2021	446	2021
Memory-Based Model Editing at Scale E Mitchell, C Lin, A Bosselut, CD Manning, C Finn International Conference on Machine Learning (ICML), 2022	308	2022
Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback K Tian, E Mitchell, A Zhou, A Sharma, R Rafailov, H Yao, C Finn, ... Empirical Methods in Natural Language Processing (EMNLP), 2023	227	2023
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	211	2022
Neuronal wiring diagram of an adult brain S Dorkenwald, A Matsliah, AR Sterling, P Schlegel, SC Yu, CE McKellar, ... Nature 634 (8032), 124-138, 2024	189	2024
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	159	2022
Functional connectomics spanning multiple areas of mouse visual cortex MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ... BioRxiv, 2021.07. 28.454025, 2021	157	2021
Fine-tuning language models for factuality K Tian, E Mitchell, H Yao, CD Manning, C Finn arXiv preprint arXiv:2311.08401, 2023	140	2023
Offline Meta-Reinforcement Learning with Advantage Weighting E Mitchell, R Rafailov, XB Peng, S Levine, C Finn International Conference on Machine Learning (ICML), 2021	123	2021
On the opportunities and risks of foundation models. arXiv 2021 R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2023	109	2023
Identifying and mitigating the security risks of generative ai C Barrett, B Boyd, E Bursztein, N Carlini, B Chen, J Choi, AR Chowdhury, ... Foundations and Trends® in Privacy and Security 6 (1), 1-52, 2023	86	2023
On the opportunities and risks of foundation models (2021) R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2022	74	2022
Direct preference optimization: Your language model is secretly a reward model (2023) R Rafailov, A Sharma, E Mitchell, S Ermon, CD Manning, C Finn arXiv preprint arXiv:2305.18290, 2022	65	2022
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, ... Empirical Methods in Natural Language Processing (EMNLP), 2022	47	2022
Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex CM Schneider-Mizell, AL Bodor, D Brittain, JA Buchanan, DJ Bumbarger, ... bioRxiv, 2023.01. 23.525290, 2024	42	2024
Self-destructing models: Increasing the costs of harmful dual uses of foundation models P Henderson, E Mitchell, C Manning, D Jurafsky, C Finn Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 287-296, 2023	40	2023
Openai o1 system card A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ... arXiv preprint arXiv:2412.16720, 2024	38	2024
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	37	2021

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