Techniques

An Empirical Exploration of Local Ordering Pre-training for Structured Prediction EMNLP 2020 An End-to-End Edge Aggregation Network for Moving Object Segmentation CVPR 2020 An Exponential Learning Rate Schedule for Deep Learning ICLR 2020 An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs CVPR 2020 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 Answering Legal Questions by Learning Neural Attentive Text Representation COLING 2020 A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech Interspeech 2020 APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020 A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data AAAI 2020 ARBML: Democratizing Arabic Natural Language Processing Tools EMNLP 2020 Architecture Search of Dynamic Cells for Semantic Video Segmentation WACV 2020 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition Interspeech 2020 A Signal Propagation Perspective for Pruning Neural Networks at Initialization ICLR 2020 A Simple and Effective Dependency Parser for Telugu ACL 2020 A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract) AAAI 2020 A Spatial RNN Codec for End-to-End Image Compression CVPR 2020 A Statistical Framework for Low-bitwidth Training of Deep Neural Networks NeurIPS 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing COLING 2020 AtLoc: Attention Guided Camera Localization AAAI 2020 AtomNAS: Fine-Grained End-to-End Neural Architecture Search ICLR 2020 A Topology Layer for Machine Learning AISTATS 2020 Atss-Net: Target Speaker Separation via Attention-Based Neural Network Interspeech 2020 At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks? ICLR 2020