Papers
Improving Information Centrality of a Node in Complex Networks by Adding Edges
Liren Shan, Yuhao Yi, Zhongzhi Zhang
Improving Information Extraction from Images with Learned Semantic Models
Stephan Baier, Yunpu Ma, Volker Tresp
Improving Knowledge Graph Embedding Using Simple Constraints
Boyang Ding, Quan Wang, Bin Wang et al.
Improving Landmark Localization With Semi-Supervised Learning
Sina Honari, Pavlo Molchanov, Stephen Tyree et al.
Improving Language Modeling with an Adversarial Critic for Automatic Speech Recognition
Yike Zhang, Pengyuan Zhang, Yonghong Yan
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
Nayeon Lee, Chien-Sheng Wu, Pascale Fung
Improving Lexical Choice in Neural Machine Translation
Toan Nguyen, David Chiang
Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies
Shaowei Cai, Wenying Hou, Jinkun Lin et al.
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
Xiaocheng Feng, Xiachong Feng, Bing Qin et al.
Improving Mandarin Tone Recognition Using Convolutional Bidirectional Long Short-Term Memory with Attention
Longfei Yang, Yanlu Xie, Jinsong Zhang
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
Junchi Yan, Xin Liu, Liangliang Shi et al.
Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec, Matúš Pikuliak, Marián Šimko et al.
Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model
Rui Liu, Feilong Bao, Guanglai Gao et al.
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Jianfei Yu, Luís Marujo, Jing Jiang et al.
Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation
Philipp Schillinger, Mathias Buerger, Dimos Dimarogonas
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Onur Güngör, Suzan Uskudarli, Tunga Güngör
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li, Xinyan Xiao, Yajuan Lyu et al.
Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li, Xinyan Xiao, Yajuan Lyu et al.
Improving Neural Language Models with Weight Norm Initialization and Regularization
Christian Herold, Yingbo Gao, Hermann Ney
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features
Makoto Morishita, Jun Suzuki, Masaaki Nagata
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
Zhen Yang, Wei Chen, Feng Wang et al.
Improving Neural Network Performance by Injecting Background Knowledge: Detecting Code-switching and Borrowing in Algerian texts
Wafia Adouane, Jean-Philippe Bernardy, Simon Dobnik
Improving Neural Program Synthesis with Inferred Execution Traces
Eui Chul Shin, Illia Polosukhin, Dawn Song
Improving Object Localization With Fitness NMS and Bounded IoU Loss
Lachlan Tychsen-Smith, Lars Petersson
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
Junhyug Noh, Soochan Lee, Beomsu Kim et al.