Papers
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
Carolin Lawrence, Stefan Riezler
Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition
Chao Weng, Jia Cui, Guangsen Wang et al.
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation
Raphael Shu, Hideki Nakayama
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban, Qun Liu, Andy Way
Improving Classification of Twitter Behavior During Hurricane Events
Kevin Stowe, Jennings Anderson, Martha Palmer et al.
Improving Color Reproduction Accuracy on Cameras
Hakki Can Karaimer, Michael S. Brown
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
Tianze Shi, Carlos Gómez-Rodríguez, Lillian Lee
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
Yerai Doval, Jose Camacho-Collados, Luis Espinosa-Anke et al.
Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks
Sheng Li, Xugang Lu, Ryoichi Takashima et al.
Improving Data Management using Domain Knowledge
Magdalena Ortiz
Improving Deep Neural Network Sparsity through Decorrelation Regularization
Xiaotian Zhu, Wengang Zhou, Houqiang Li
Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation
Amit Das, Mark Hasegawa-Johnson
Improving Domain Independent Question Parsing with Synthetic Treebanks
Halim-Antoine Boukaram, Nizar Habash, Micheline Ziadee et al.
Improving Entity Linking by Modeling Latent Relations between Mentions
Phong Le, Ivan Titov
Improving Entity Recommendation with Search Log and Multi-Task Learning
Jizhou Huang, Wei Zhang, Yaming Sun et al.
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
Prafulla Kumar Choubey, Ruihong Huang
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste et al.
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al.
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection
Olga Zamaraeva, Kristen Howell, Adam Rhine
Improving GANs Using Optimal Transport
Tim Salimans, Han Zhang, Alec Radford et al.
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui et al.
Improving Gender Identification in Movie Audio Using Cross-Domain Data
Rajat Hebbar, Krishna Somandepalli, Shrikanth Narayanan
Improving Implicit Recommender Systems with View Data
Jingtao Ding, Guanghui Yu, Xiangnan He et al.