Architectures
30,950 papers (33 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
3
15
13
18
17
27
39
43
74
94
221
536
912
1,611
2,559
3,004
3,504
3,729
4,021
4,550
4,519
1,439
'10
'15
'20
'25
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