Papers
Improving Human Action Recognition by Non-Action Classification
Yang Wang, Minh Hoai
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method
Vered Shwartz, Yoav Goldberg, Ido Dagan
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Karthik Narasimhan, Adam Yala, Regina Barzilay
Improving i-Vector and PLDA Based Speaker Clustering with Long-Term Features
Abraham Woubie, Jordi Luque, Javier Hernando
Improving Large Vocabulary Accented Mandarin Speech Recognition with Attribute-Based I-Vectors
Hao Zheng, Shanshan Zhang, Liwei Qiao et al.
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney et al.
Improving Model Counting by Leveraging Definability
Jean-Marie Lagniez, Emmanuel Lonca, Pierre Marquis
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
Jian Ni, Radu Florian
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich, Barry Haddow, Alexandra Birch
Improving PAC Exploration Using the Median Of Means
Jason Pazis, Ronald E Parr, Jonathan P How
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching
Yeong-Jun Cho, Kuk-Jin Yoon
Improving Prosodic Boundaries Prediction for Mandarin Speech Synthesis by Using Enhanced Embedding Feature and Model Fusion Approach
Yibin Zheng, Ya Li, Zhengqi Wen et al.
Improving Semantic Parsing via Answer Type Inference
Semih Yavuz, Izzeddin Gur, Yu Su et al.
Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg, Anders Søgaard
Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober, Julie Weeds, Jeremy Reffin et al.
Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation
Praveen Dakwale, Christof Monz
Improving Statistical Machine Translation with Selectional Preferences
Haiqing Tang, Deyi Xiong, Min Zhang et al.
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling
Chengwei Su, Mark E. Borsuk
Improving the Lwazi ASR Baseline
Charl van Heerden, Neil Kleynhans, Marelie Davel
Improving the Probabilistic Framework for Representing Dialogue Systems with User Response Model
Miao Li, Zhipeng Chen, Ji Wu
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, Thomas Leung et al.
Improving Topic Model Clustering of Newspaper Comments for Summarisation
Clare Llewellyn, Claire Grover, Jon Oberlander
Improving Topic Model Stability for Effective Document Exploration
Yi Yang, Shimei Pan, Yangqiu Song et al.
Improving Top-N Recommendation with Heterogeneous Loss
Feipeng Zhao, Yuhong Guo