Papers
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng Liu, Yuzhuo Han, Song Bai et al.
Improved Algorithms for Conservative Exploration in Bandits
Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD)
Alessandro Bertagnon, Marco Gavanelli
Improved Knowledge Distillation via Teacher Assistant
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li et al.
Improved PAC-Bayesian Bounds for Linear Regression
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain et al.
Improved Subsampled Randomized Hadamard Transform for Linear SVM
Zijian Lei, Liang Lan
Improved Visual-Semantic Alignment for Zero-Shot Object Detection
Shafin Rahman, Salman Khan, Nick Barnes
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding
Hyeongu Yun, Yongkeun Hwang, Kyomin Jung
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
Qianming Xue, Wei Zhang, Hongyuan Zha
Improving ECG Classification Using Generative Adversarial Networks
Tomer Golany, Gal Lavee, Shai Tejman Yarden et al.
Improving Efficiency of Volunteer-Based Food Rescue Operations
Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo et al.
Improving Entity Linking by Modeling Latent Entity Type Information
Shuang Chen, Jinpeng Wang, Feng Jiang et al.
Improving First-Order Optimization Algorithms (Student Abstract)
Tato Ange, Nkambou Roger
Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering
Jian Wang, Junhao Liu, Wei Bi et al.
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks
Hangzhi Guo, Alexander Woodruff, Amulya Yadav
Improving Neural Relation Extraction with Positive and Unlabeled Learning
Zhengqiu He, Wenliang Chen, Yuyi Wang et al.
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer, Hengyuan Hu, Jakob Foerster et al.
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring
Xiyao Ma, Qile Zhu, Yanlin Zhou et al.
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)
Ritwik Bose, Siddharth Vashishtha, James Allen
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
Daizong Ding, Mi Zhang, Xudong Pan et al.
Incentive-Compatible Classification
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen et al.
Inception LSTM for Next-frame Video Prediction (Student Abstract)
Matin Hosseini, Anthony S. Maida, Majid Hosseini et al.
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
Heyuan Wang, Tengjiao Wang, Yi Li
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
Haobo Wang, Chen Chen, Weiwei Liu et al.