Deep Learning

An efficient nonconvex reformulation of stagewise convex optimization problems NeurIPS 2020 An Efficient PointLSTM for Point Clouds Based Gesture Recognition CVPR 2020 An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks Interspeech 2020 A negative case analysis of visual grounding methods for VQA ACL 2020 An Element-aware Multi-representation Model for Law Article Prediction EMNLP 2020 An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition EMNLP 2020 An Empirical Exploration of Local Ordering Pre-training for Structured Prediction EMNLP 2020 An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020 An Empirical Investigation of Contextualized Number Prediction EMNLP 2020 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 An Empirical Study of Generation Order for Machine Translation EMNLP 2020 An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining ACL 2020 An Empirical Study of Pre-trained Transformers for Arabic Information Extraction EMNLP 2020 An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise AISTATS 2020 An End-to-End Architecture of Online Multi-Channel Speech Separation Interspeech 2020 An End-to-End Edge Aggregation Network for Moving Object Segmentation CVPR 2020 An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling Interspeech 2020 An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization IJCAI 2020 An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos AAAI 2020 An Ensemble Method for Producing Word Representations focusing on the Greek Language AACL 2020 A Neural Model for Aggregating Coreference Annotation in Crowdsourcing COLING 2020 A Neural Rendering Framework for Free-Viewpoint Relighting CVPR 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020 A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons NeurIPS 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020