An Interpretable Reasoning Network for Multi-Relation Question Answering. Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks. A Temporally-Aware Interpolation Network for Video Frame Inpainting. Solving the Empirical Bayes Normal Means Problem with Correlated Noise. Evaluating Generative Adversarial Networks on Explicit …

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology. NeuralWarp: Time-Series Similarity with Warping Networks. Triplet-Center Loss for Multi-View 3D Object Retrieval. Constructing Fast Network through Deconstruction of Convolution. One-shot doma …

DetNet: A Backbone network for Object Detection. Deep Bayesian Self-Training. Double Path Networks for Sequence to Sequence Learning. Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. Real-world Anomaly Detection in Surveillance Videos. BRUNO: A Deep Recurrent Model for Exchangeable Data. Generating Informative and …

Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm. Improving Bi-directional Generation between Different Modalities with Variational Autoencoders. Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach. Deep Reinforcement Learning for Image H …