A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Kernel Codebooks for Scene Categorization
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge