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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
WATT: Weight Average Test Time Adaptation of CLIP
NIPS 2024
Learning Better Representations From Less Data For Propositional Satisfiability
NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NIPS 2024
Linear Transformers are Versatile In-Context Learners
NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
NIPS 2024
SyncVIS: Synchronized Video Instance Segmentation
NIPS 2024
Matryoshka Query Transformer for Large Vision-Language Models
NIPS 2024
Exploring Token Pruning in Vision State Space Models
NIPS 2024
Recognize Any Regions
NIPS 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NIPS 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition
NIPS 2024
Why are Visually-Grounded Language Models Bad at Image Classification?
NIPS 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NIPS 2024
Vision Mamba Mender
NIPS 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
NIPS 2024
Unveiling Encoder-Free Vision-Language Models
NIPS 2024
Graph Convolutions Enrich the Self-Attention in Transformers!
NIPS 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
NIPS 2024
LRM-Zero: Training Large Reconstruction Models with Synthesized Data
NIPS 2024
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
NIPS 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers
NIPS 2024
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
NIPS 2024
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
NIPS 2024
Dissecting Query-Key Interaction in Vision Transformers
NIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion
NIPS 2024
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