Mitchell Stern
16 papers · 2017–2021 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (36) π Conference Polyglot (5) π Renaissance Researcher (8) π§ Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(36)
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(4)
π
Trend Setter
β‘
Prolific Year
(6)
π
Century Club
(16)
π₯
Unstoppable
(5)
β
The Questioner
ποΈ
Keyword Collector
(77)
Conferences
ACL (4)
EMNLP (4)
NIPS (4)
ICML (2)
NAACL (2)
Top co-authors
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
Whatβs 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