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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
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
NIPS 2024
Interfacing Foundation Models' Embeddings
NIPS 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
NIPS 2024
HydraViT: Stacking Heads for a Scalable ViT
NIPS 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
NIPS 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective
NIPS 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
NIPS 2024
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning
NIPS 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
NIPS 2024
General Detection-based Text Line Recognition
NIPS 2024
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
NIPS 2024
Slicing Vision Transformer for Flexible Inference
NIPS 2024
Revisiting the Integration of Convolution and Attention for Vision Backbone
NIPS 2024
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
NIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NIPS 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
NIPS 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
NIPS 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
NIPS 2024
Exploring Molecular Pretraining Model at Scale
NIPS 2024
3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection
NIPS 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
NIPS 2024
Referencing Where to Focus: Improving Visual Grounding with Referential Query
NIPS 2024
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
NIPS 2024
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