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← Architectures
Deep Learning
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Architectures
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Transformers
9,294 papers
Papers per year
2011: 1
2014: 2
2015: 6
2016: 17
2017: 67
2018: 156
2019: 404
2020: 769
2021: 1217
2022: 1446
2023: 1628
2024: 1574
2025: 1647
2026: 360
Papers
Short-Term Solar Irradiance Prediction From Sky Images With a Clear Sky Model
WACV 2022
Robust Lane Detection via Expanded Self Attention
WACV 2022
Learning Temporal Video Procedure Segmentation From an Automatically Collected Large Dataset
WACV 2022
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
WACV 2022
M3DETR: Multi-Representation, Multi-Scale, Mutual-Relation 3D Object Detection With Transformers
WACV 2022
UniDoc: Unified Pretraining Framework for Document Understanding
NIPS 2021
Multimodal Few-Shot Learning with Frozen Language Models
NIPS 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
NIPS 2021
Global Filter Networks for Image Classification
NIPS 2021
Systematic Generalization with Edge Transformers
NIPS 2021
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
NIPS 2021
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
NIPS 2021
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
NIPS 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
NIPS 2021
Associating Objects with Transformers for Video Object Segmentation
NIPS 2021
Word2Fun: Modelling Words as Functions for Diachronic Word Representation
NIPS 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes
NIPS 2021
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
NIPS 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
NIPS 2021
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
NIPS 2021
SketchGen: Generating Constrained CAD Sketches
NIPS 2021
Grounding Spatio-Temporal Language with Transformers
NIPS 2021
Blending Anti-Aliasing into Vision Transformer
NIPS 2021
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
NIPS 2021
Dynamic Grained Encoder for Vision Transformers
NIPS 2021
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