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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
Compact Proofs of Model Performance via Mechanistic Interpretability
NIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NIPS 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
NIPS 2024
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
NIPS 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
NIPS 2024
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
NIPS 2024
Dynamic 3D Gaussian Fields for Urban Areas
NIPS 2024
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
NIPS 2024
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond
NIPS 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NIPS 2024
Segment Any Change
NIPS 2024
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
NIPS 2024
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning
NIPS 2024
SAM-Guided Masked Token Prediction for 3D Scene Understanding
NIPS 2024
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion
NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NIPS 2024
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
NIPS 2024
Understanding and Minimising Outlier Features in Transformer Training
NIPS 2024
Toward Efficient Inference for Mixture of Experts
NIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NIPS 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
NIPS 2024
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