Learning a Neural-network-based Representation for Open Set Recognition. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. A Neural Temporal Model for Human Motion Prediction. Neural Program Synthesis with Priority Queue Training. Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirect …

Neural Network Acceptability Judgments. The PyTorch-Kaldi Speech Recognition Toolkit. A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws. A Quantum Many-body Wave Function Inspired Language Modeling Approach. 3D Human Pose Estimation with Siamese Equivariant Embeddin …

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation. A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition. Automat …

Multi Instance Learning For Unbalanced Data. Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline. Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. Graph Convolutional Neural Networks based on Quantum Vertex Saliency. Rethinking clinical prediction: Wh …