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Author

Mitchell Stern

Observed name: Stern, Mitchell
OpenAlex ID: A5113970167
The Marginal Value of Adaptive Gradient Methods in Machine Learning
2017 · Wilson, Ashia C., Roelofs, Rebecca, et al. · arXiv (Cornell University) · 828
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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
2018 · Shazeer, Noam, Stern, Mitchell · arXiv (Cornell University) · 564
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Abstract Syntax Networks for Code Generation and Semantic Parsing
2017 · Maxim Rabinovich, Mitchell Stern, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 368
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Insertion Transformer: Flexible Sequence Generation via Insertion Operations
2019 · Stern, Mitchell, Chan, William, et al. · arXiv (Cornell University) · 202
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A Minimal Span-Based Neural Constituency Parser
2017 · Mitchell Stern, Jacob Andreas, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 198
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Stochastic Cubic Regularization for Fast Nonconvex Optimization
2017 · Tripuraneni, Nilesh, Stern, Mitchell, et al. · arXiv (Cornell University) · 109
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Imitation Attacks and Defenses for Black-box Machine Translation Systems
2020 · Eric Wallace, Mitchell Stern, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 96
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Kernel Feature Selection via Conditional Covariance Minimization
2017 · Chen, Jianbo, Stern, Mitchell, et al. · arXiv (Cornell University) · 79
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What’s Going On in Neural Constituency Parsers? An Analysis
2018 · David Gaddy, Mitchell Stern, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 71
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Blockwise Parallel Decoding for Deep Autoregressive Models
2018 · Stern, Mitchell, Shazeer, Noam, et al. · arXiv (Cornell University) · 66
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KERMIT: Generative Insertion-Based Modeling for Sequences
2019 · Chan, William, Kitaev, Nikita, et al. · arXiv (Cornell University) · 64
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Effective Inference for Generative Neural Parsing
2017 · Mitchell Stern, Daniel Fried, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 60
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Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market (Invited Talk)
2022 · Ferreira, Matheus V. X., Moroz, Daniel J., et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 56
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Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
2017 · Daniel Fried, Mitchell Stern, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 36
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Semantic Scaffolds for Pseudocode-to-Code Generation
2020 · Ruiqi Zhong, Mitchell Stern, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 23
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Towards End-to-End In-Image Neural Machine Translation
2020 · Elman Mansimov, Mitchell Stern, et al. · 23
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Insertion-Deletion Transformer
2020 · Ruis, Laura, Stern, Mitchell, et al. · arXiv (Cornell University) · 16
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Dynamic posted-price mechanisms for the blockchain transaction-fee market
2021 · Matheus V. X. Ferreira, Daniel J. Moroz, et al. · ACM Conference on Advances in Financial Technologies (AFT) · 14
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An Empirical Study of Generation Order for Machine Translation
2020 · William Chan, Mitchell Stern, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8
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Interactive Assignments for Teaching Structured Neural NLP
2021 · David Gaddy, Daniel Fried, et al. · Workshop on Teaching NLP (TeachingNLP)
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Structured Neural Models and Structured Decoding for Natural Language Processing
2020 · Mitchell Stern · eScholarship (California Digital Library)
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Works count: 21
Citation count: 2,881
H-index: 16
I10-index: 18
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