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Deep Learning

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Papers

k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks IJCAI 2021 Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement Interspeech 2021 LayoutReader: Pre-training of Text and Layout for Reading Order Detection EMNLP 2021 Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking CVPR 2021 Learning-Based Image Registration With Meta-Regularization CVPR 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Learning the Dynamics of Time Delay Systems with Trainable Delays L4DC 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021 Learning To Restore Hazy Video: A New Real-World Dataset and a New Method CVPR 2021 Learning to Rewrite for Non-Autoregressive Neural Machine Translation EMNLP 2021 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-Stage Sequence-to-Sequence Training Interspeech 2021 Locally Adaptive Label Smoothing Improves Predictive Churn ICML 2021 Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model ACL 2021 Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex Interspeech 2021 Maximal Clique Based Non-Autoregressive Open Information Extraction EMNLP 2021 Metadata Normalization CVPR 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation AAAI 2021 Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia AAAI 2021 Model-Based Domain Generalization NeurIPS 2021 Modeling Deep Learning Based Privacy Attacks on Physical Mail AAAI 2021 MP3: A Unified Model To Map, Perceive, Predict and Plan CVPR 2021 Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation EMNLP 2021