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Transformers

10,397 papers

Papers per year

6
925
1792
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Papers

Coded Residual Transform for Generalizable Deep Metric Learning NIPS 2022
Masked Autoencoders that Listen NIPS 2022
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms NIPS 2022
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding NIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NIPS 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation NIPS 2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer NIPS 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes NIPS 2022
Towards Robust Blind Face Restoration with Codebook Lookup Transformer NIPS 2022
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NIPS 2022
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space NIPS 2022
A Unified Sequence Interface for Vision Tasks NIPS 2022
Visual Concepts Tokenization NIPS 2022
Generating Long Videos of Dynamic Scenes NIPS 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Peripheral Vision Transformer NIPS 2022
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts NIPS 2022
Block-Recurrent Transformers NIPS 2022
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling NIPS 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness NIPS 2022
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion NIPS 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer NIPS 2022
Chefs' Random Tables: Non-Trigonometric Random Features NIPS 2022
On the Representation Collapse of Sparse Mixture of Experts NIPS 2022
Optimal-er Auctions through Attention NIPS 2022