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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Quaternion Product Units for Deep Learning on 3D Rotation Groups CVPR 2020 Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings ICLR 2020 Query-Driven Multi-Instance Learning AAAI 2020 Query-Focused EHR Summarization to Aid Imaging Diagnosis MLHC 2020 Query-Key Normalization for Transformers EMNLP 2020 Question Answering with Long Multiple-Span Answers EMNLP 2020 Question Directed Graph Attention Network for Numerical Reasoning over Text EMNLP 2020 Question-Driven Purchasing Propensity Analysis for Recommendation AAAI 2020 R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features AAAI 2020 Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ACL 2020 Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020 Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020 Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020 RANCC: Rationalizing Neural Networks via Concept Clustering COLING 2020 RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds CVPR 2020 Random Erasing Data Augmentation AAAI 2020 Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures ICML 2020 Random Reshuffling is Not Always Better NeurIPS 2020 Random Walk Graph Neural Networks NeurIPS 2020 RANet: Region Attention Network for Semantic Segmentation NeurIPS 2020 Rank and run-time aware compression of NLP Applications EMNLP 2020 RankMI: A Mutual Information Maximizing Ranking Loss CVPR 2020 RaPP: Novelty Detection with Reconstruction along Projection Pathway ICLR 2020 Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking AAAI 2020 Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space ICML 2020