← Authors

Mitchell Stern

16 papers · 2017–2021 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (36) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (4) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ’Ž Century Club (16) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (77)

Conferences

ACL (4) EMNLP (4) NIPS (4) ICML (2) NAACL (2)

Top co-authors

Dan Klein (7) Jakob Uszkoreit (4) Daniel Fried (3) William Chan (2) Jamie Kiros (2) Noam Shazeer (2) David Gaddy (2) Michael I Jordan (2) Michael I. Jordan (2) Chi Jin (1)

Keywords

machine translation (4) constituency parsing (4) beam search (2) code generation (2) sequence generation (2) nonconvex optimization (1) neural network training (1) stochastic gradient (1) feature selection (1) adversarial learning (1) neural machine translation (1) text generation (1) syntactic parsing (1) semantic parsing (1) sequence tagging (1) model combination (1) image translation (1) dimension reduction (1) image super-resolution (1) transfer learning (1)

Papers

Interactive Assignments for Teaching Structured Neural NLP NAACL 2021
Towards End-to-End In-Image Neural Machine Translation EMNLP 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems EMNLP 2020
Semantic Scaffolds for Pseudocode-to-Code Generation ACL 2020
An Empirical Study of Generation Order for Machine Translation EMNLP 2020
Insertion Transformer: Flexible Sequence Generation via Insertion Operations ICML 2019
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost ICML 2018
Blockwise Parallel Decoding for Deep Autoregressive Models NIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization NIPS 2018
What’s Going On in Neural Constituency Parsers? An Analysis NAACL 2018
Effective Inference for Generative Neural Parsing EMNLP 2017
Kernel Feature Selection via Conditional Covariance Minimization NIPS 2017
A Minimal Span-Based Neural Constituency Parser ACL 2017
Abstract Syntax Networks for Code Generation and Semantic Parsing ACL 2017
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects ACL 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning NIPS 2017