Stern, Mitchell

1. Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
   2018/04/11 by Noam Shazeer, Mitchell Stern, Shazeer, Noam +1 · 82 citations
   Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Model Reduction and Neural Networks
2. Blockwise Parallel Decoding for Deep Autoregressive Models
   2018/11/07 by Stern, Mitchell, Shazeer, Noam, Uszkoreit, Jakob · 43 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Insertion Transformer: Flexible Sequence Generation via Insertion\n Operations
   2019/02/08 by Mitchell Stern, Stern, Mitchell, William Chan +5 · 26 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech and dialogue systems
4. The Marginal Value of Adaptive Gradient Methods in Machine Learning
   2017/05/23 by Wilson, Ashia C., Roelofs, Rebecca, Stern, Mitchell +2 · 12 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Abstract Syntax Networks for Code Generation and Semantic Parsing
   2017/04/25 by Rabinovich, Maxim, Stern, Mitchell, Klein, Dan · 7 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Imitation Attacks and Defenses for Black-box Machine Translation Systems
   2020/04/30 by Eric Wallace, Mitchell Stern, Wallace, Eric +3 · 5 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
7. Stochastic Cubic Regularization for Fast Nonconvex Optimization
   2017/11/08 by Tripuraneni, Nilesh, Stern, Mitchell, Jin, Chi +2 · 4 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
8. Kernel Feature Selection via Conditional Covariance Minimization
   2017/07/04 by Jianbo Chen, Mitchell Stern, Chen, Jianbo +5 · 2 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistical Methods and Inference
9. Towards End-to-End In-Image Neural Machine Translation
   2020/10/20 by Mansimov, Elman, Stern, Mitchell, Chen, Mia +3 · 2 citations
   #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)