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Architectures

30,950 papers (33 classified directly here)

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Papers (including subtopics)

Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Probing for Multilingual Numerical Understanding in Transformer-Based Language Models EMNLP 2020 Probing for Referential Information in Language Models ACL 2020 Program Enhanced Fact Verification with Verbalization and Graph Attention Network EMNLP 2020 Progressive Bi-C3D Pose Grammar for Human Pose Estimation AAAI 2020 ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 2020 Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention WACV 2020 Propose-and-Attend Single Shot Detector WACV 2020 Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks ICLR 2020 Provable Filter Pruning for Efficient Neural Networks ICLR 2020 Provable robustness against all adversarial l_p-perturbations for p≥ 1 ICLR 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020 Pruned Graph Scattering Transforms ICLR 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP 2020 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 PUM at SemEval-2020 Task 12: Aggregation of Transformer-based Models’ Features for Offensive Language Recognition SemEval 2020 Punctuation Restoration using Transformer Models for High-and Low-Resource Languages EMNLP 2020 Pure and Spurious Critical Points: a Geometric Study of Linear Networks ICLR 2020 PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection CVPR 2020 PyMT5: multi-mode translation of natural language and Python code with transformers EMNLP 2020 Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated! EMNLP 2020 Quantifying Attention Flow in Transformers ACL 2020 Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel ICLR 2020