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Transformers

9,294 papers

Papers per year

Papers

Glance-and-Gaze Vision Transformer NIPS 2021
Representing Long-Range Context for Graph Neural Networks with Global Attention NIPS 2021
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution NIPS 2021
Video Instance Segmentation using Inter-Frame Communication Transformers NIPS 2021
Alignment Attention by Matching Key and Query Distributions NIPS 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification NIPS 2021
Attention Bottlenecks for Multimodal Fusion NIPS 2021
Co-evolution Transformer for Protein Contact Prediction NIPS 2021
Hard-Attention for Scalable Image Classification NIPS 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up NIPS 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling NIPS 2021
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NIPS 2021
Attention Approximates Sparse Distributed Memory NIPS 2021
Augmented Shortcuts for Vision Transformers NIPS 2021
Neural Circuit Synthesis from Specification Patterns NIPS 2021
ResT: An Efficient Transformer for Visual Recognition NIPS 2021
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining NIPS 2021
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding NIPS 2021
Transformer in Transformer NIPS 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings NIPS 2021
Scatterbrain: Unifying Sparse and Low-rank Attention NIPS 2021
Hash Layers For Large Sparse Models NIPS 2021
Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021
Improved Transformer for High-Resolution GANs NIPS 2021
The Image Local Autoregressive Transformer NIPS 2021