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Architectures

30,950 papers (33 classified directly here)

27
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3,004
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Papers (including subtopics)

HyperGait: Unleashing the Power of Parsing for Gait Recognition in the Wild via Hypergraph CVPR 2026 HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs AAAI 2026 Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion AAAI 2026 HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork CVPR 2026 HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning AAAI 2026 Hyper-PCN: Hypergraph-Based Point Cloud Completion via High-Order Correlation Modeling CVPR 2026 HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene WACV 2026 HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation AAAI 2026 HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition AAAI 2026 HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection AAAI 2026 HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems AAAI 2026 I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks AAAI 2026 IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models? AAAI 2026 IIITH Boys at SemEval-2026 Task 4: StoryNet - Understanding Narrative Story Similarity through Symbolic Representations SemEval 2026 iLRM: An Iterative Large 3D Reconstruction Model CVPR 2026 Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction AAAI 2026 Implicit Neural Representation with Multi-Scale Sine Activation AAAI 2026 Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026 Improved Masked Image Generation with Knowledge-Augmented Token Representations AAAI 2026 Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark WACV 2026 Improve Molecular Conformation Modeling with Geometric Deep Learning AAAI 2026 Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies AAAI 2026 Improving Sparse Autoencoder with Dynamic Attention CVPR 2026 Improving Sparse IMU-based Motion Capture with Motion Label Smoothing AAAI 2026 IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation EACL 2026