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Transformers

10,397 papers

Papers per year

6
925
1792
'15
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'25

Papers

NaturalProver: Grounded Mathematical Proof Generation with Language Models NIPS 2022
SegViT: Semantic Segmentation with Plain Vision Transformers NIPS 2022
AttCAT: Explaining Transformers via Attentive Class Activation Tokens NIPS 2022
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks NIPS 2022
Geodesic Self-Attention for 3D Point Clouds NIPS 2022
Feature-Proxy Transformer for Few-Shot Segmentation NIPS 2022
One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration NIPS 2022
Mixture-of-Experts with Expert Choice Routing NIPS 2022
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer NIPS 2022
Neural Attentive Circuits NIPS 2022
Attention-based Neural Cellular Automata NIPS 2022
Grounded Video Situation Recognition NIPS 2022
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization NIPS 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022
Stochastic Window Transformer for Image Restoration NIPS 2022
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition NIPS 2022
Object Scene Representation Transformer NIPS 2022
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts NIPS 2022
TVLT: Textless Vision-Language Transformer NIPS 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training NIPS 2022
End-to-end Symbolic Regression with Transformers NIPS 2022
EcoFormer: Energy-Saving Attention with Linear Complexity NIPS 2022
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions NIPS 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning NIPS 2022