Papers
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev et al.
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
Meta-Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.
MetaNet: Repository, Identification System, and Applications
Miriam R L Petruck, Ellen K Dodge
2016
ACL
Metaphor Detection with Topic Transition, Emotion and Cognition in Context
Hyeju Jang, Yohan Jo, Qinlan Shen et al.
Methods and Theories for Large-scale Structured Prediction
Xu Sun, Yansong Feng
2016
EMNLP
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees
Valentina Zantedeschi, Remi Emonet, Marc Sebban
Metrics for Evaluation of Word-level Machine Translation Quality Estimation
Varvara Logacheva, Michal Lukasik, Lucia Specia
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
Ye Zhang, Stephen Roller, Byron C. Wallace
mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza, Marinella Petrocchi
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition
Animesh Prasad, Khe Chai Sim
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model
Marc René Schädler, David Hülsmeier, Anna Warzybok et al.
Mindfulness Special Event
Nikki Mirghafori
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz et al.
Mind the Gap: Towards a Backpressure-Based Transport Protocol for the Tor Network
Florian Tschorsch, Björn Scheuermann
2016
NSDI
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
Yohann De Castro, Élisabeth Gassiat, Claire Lacour
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi et al.
Minimax Rates in Permutation Estimation for Feature Matching
Olivier Collier, Arnak S. Dalalyan
Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation
Hung-Shin Lee, Yu Tsao, Chi-Chun Lee et al.
Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems
Luciana Ferrer, Martin Graciarena
Minimizing Faulty Executions of Distributed Systems
Colin Scott, Aurojit Panda, Vjekoslav BrajkovicGeorge Necula et al.
2016
NSDI
Minimizing Quadratic Functions in Constant Time
Kohei Hayashi, Yuichi Yoshida
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
Maximilian Balandat, Walid Krichene, Claire Tomlin et al.
Minimizing the Maximal Loss: How and Why
Shai Shalev-Shwartz, Yonatan Wexler