← Architectures
Deep Learning › Architectures ›

Transformers

9294 directly classified papers

Papers per year

Papers

Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study INTERSPEECH 2020
Self-Attention ConvLSTM for Spatiotemporal Prediction AAAI 2020
CASIE: Extracting Cybersecurity Event Information from Text AAAI 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction AAAI 2020
Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation AAAI 2020
Text-Independent Speaker Verification with Dual Attention Network INTERSPEECH 2020
Improving NMT via Filtered Back Translation AACL 2020
Inference-only sub-character decomposition improves translation of unseen logographic characters AACL 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP 2020
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt CVPR 2020
PolyTransform: Deep Polygon Transformer for Instance Segmentation CVPR 2020
Learning Texture Transformer Network for Image Super-Resolution CVPR 2020
Deformable Siamese Attention Networks for Visual Object Tracking CVPR 2020
Context-Aware Human Motion Prediction CVPR 2020
TESA: Tensor Element Self-Attention via Matricization CVPR 2020
Hierarchical Graph Attention Network for Visual Relationship Detection CVPR 2020
Multimodal Categorization of Crisis Events in Social Media CVPR 2020
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection CVPR 2020
Transform and Tell: Entity-Aware News Image Captioning CVPR 2020
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020
Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020
Memory Controlled Sequential Self Attention for Sound Recognition INTERSPEECH 2020
The University of Tokyo’s Submissions to the WAT 2020 Shared Task AACL 2020
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task AACL 2020