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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
All Tokens Matter: Token Labeling for Training Better Vision Transformers
NIPS 2021
Container: Context Aggregation Networks
NIPS 2021
Space-time Mixing Attention for Video Transformer
NIPS 2021
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
NIPS 2021
CogView: Mastering Text-to-Image Generation via Transformers
NIPS 2021
Adder Attention for Vision Transformer
NIPS 2021
XCiT: Cross-Covariance Image Transformers
NIPS 2021
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
NIPS 2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity
NIPS 2021
Rethinking Graph Transformers with Spectral Attention
NIPS 2021
SOLQ: Segmenting Objects by Learning Queries
NIPS 2021
Few-Shot Segmentation via Cycle-Consistent Transformer
NIPS 2021
Understanding How Encoder-Decoder Architectures Attend
NIPS 2021
Combiner: Full Attention Transformer with Sparse Computation Cost
NIPS 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
NIPS 2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
NIPS 2021
Probabilistic Transformer For Time Series Analysis
NIPS 2021
Efficient Training of Visual Transformers with Small Datasets
NIPS 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
NIPS 2021
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
NIPS 2021
Choose a Transformer: Fourier or Galerkin
NIPS 2021
Dual-stream Network for Visual Recognition
NIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NIPS 2021
Learning to delegate for large-scale vehicle routing
NIPS 2021
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