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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 Piecewise Strong Convexity of Neural Networks NeurIPS 2019 PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization ICCV 2019 Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks EMNLP 2019 Pitfalls in the Evaluation of Sentence Embeddings ACL 2019 Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages EMNLP 2019 Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images ICCV 2019 Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation ICCV 2019 Pixel-Adaptive Convolutional Neural Networks CVPR 2019 PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network SemEval 2019 PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image CVPR 2019 Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer AAAI 2019 Pluralistic Image Completion CVPR 2019 PMS-Net: Robust Haze Removal Based on Patch Map for Single Images CVPR 2019 P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo ICCV 2019 Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages ACL 2019 Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network AAAI 2019 Point-Based Multi-View Stereo Network ICCV 2019 Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning CVPR 2019 Point Cloud Processing via Recurrent Set Encoding AAAI 2019 PointCloud Saliency Maps ICCV 2019 PointConv: Deep Convolutional Networks on 3D Point Clouds CVPR 2019 PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NeurIPS 2019 PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ICCV 2019 PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds CVPR 2019