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Transformers

10,397 papers

Papers per year

6
925
1792
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Papers

Efficient Attention: Attention With Linear Complexities WACV 2021
Audio-Visual Event Localization via Recursive Fusion by Joint Co-Attention WACV 2021
Temporal Context Aggregation for Video Retrieval With Contrastive Learning WACV 2021
Self Supervision for Attention Networks WACV 2021
Learning Representations from Audio-Visual Spatial Alignment NIPS 2020
Benchmarking Deep Learning Interpretability in Time Series Predictions NIPS 2020
SMYRF - Efficient Attention using Asymmetric Clustering NIPS 2020
Hierarchical Poset Decoding for Compositional Generalization in Language NIPS 2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction NIPS 2020
Incorporating BERT into Parallel Sequence Decoding with Adapters NIPS 2020
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation NIPS 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
CogLTX: Applying BERT to Long Texts NIPS 2020
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder NIPS 2020
Neurosymbolic Transformers for Multi-Agent Communication NIPS 2020
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NIPS 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NIPS 2020
Why are Adaptive Methods Good for Attention Models? NIPS 2020
Bayesian Attention Modules NIPS 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection NIPS 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
Big Bird: Transformers for Longer Sequences NIPS 2020
Neural Execution Engines: Learning to Execute Subroutines NIPS 2020
Towards Neural Programming Interfaces NIPS 2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification NIPS 2020