deep learning

Towards multi-sequence MR image recovery from undersampled k-space data MIDL 2020 Training Neural Networks for and by Interpolation ICML 2020 Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds ICLR 2020 Transformer Hawkes Process ICML 2020 UET at WNUT-2020 Task 2: A Study of Combining Transfer Learning Methods for Text Classification with RoBERTa EMNLP 2020 UIC-NLP at SemEval-2020 Task 10: Exploring an Alternate Perspective on Evaluation SemEval 2020 Uncertainty-Aware Score Distribution Learning for Action Quality Assessment CVPR 2020 Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery AISTATS 2020 Uncertainty Quantification for Sparse Deep Learning AISTATS 2020 Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020 UNTLing at SemEval-2020 Task 11: Detection of Propaganda Techniques in English News Articles SemEval 2020 Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions Interspeech 2020 Visual Reaction: Learning to Play Catch With Your Drone CVPR 2020 Vital Records: Uncover the past from historical handwritten records COLING 2020 V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices AAAI 2020 WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching CVPR 2020 Weakly Supervised Deep Functional Maps for Shape Matching NeurIPS 2020 Weakly Supervised Gaussian Networks for Action Detection WACV 2020 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 What Have We Achieved on Text Summarization? EMNLP 2020 When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark IJCAI 2020 When to Use Convolutional Neural Networks for Inverse Problems CVPR 2020 Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements EMNLP 2020 Wisdom of the Ensemble: Improving Consistency of Deep Learning Models NeurIPS 2020