Co-occurring keywords · papers mentioning both
Papers
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
AAAI 2021
Intriguing Properties of Vision Transformers
NeurIPS 2021
Linear Transformers Are Secretly Fast Weight Programmers
ICML 2021
Line Segment Detection Using Transformers Without Edges
CVPR 2021
Lipschitz normalization for self-attention layers with application to graph neural networks
ICML 2021
Long-Short Transformer: Efficient Transformers for Language and Vision
NeurIPS 2021
Multi-Scale Matching Networks for Semantic Correspondence
ICCV 2021
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
AAAI 2021
PermuteFormer: Efficient Relative Position Encoding for Long Sequences
EMNLP 2021
Personalized Outfit Recommendation With Learnable Anchors
CVPR 2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization
Interspeech 2021
Pose Recognition With Cascade Transformers
CVPR 2021
Post-Training Quantization for Vision Transformer
NeurIPS 2021
ProFormer: Towards On-Device LSH Projection Based Transformers
EACL 2021
Recurrent Attention for Neural Machine Translation
EMNLP 2021
ResT: An Efficient Transformer for Visual Recognition
NeurIPS 2021
Rethinking and Improving Relative Position Encoding for Vision Transformer
ICCV 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
NeurIPS 2021
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition
Interspeech 2021
Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations
EMNLP 2021
Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer
Interspeech 2021
Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
Interspeech 2021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
NeurIPS 2021
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
NeurIPS 2021
SparseBERT: Rethinking the Importance Analysis in Self-attention
ICML 2021