neural network architecture

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model AAAI 2025 MoFE: Mixture of Frozen Experts Architecture NAACL 2025 MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion IJCAI 2025 Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025 Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research EMNLP 2025 QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression AAAI 2025 Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model CVPR 2025 QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception AAAI 2025 Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks AISTATS 2025 ReSi: A Comprehensive Benchmark for Representational Similarity Measures ICLR 2025 Reverse Convolution and Its Applications to Image Restoration ICCV 2025 Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure ICLR 2025 Sparsifying Mamba EMNLP 2025 Steinmetz Neural Networks for Complex-Valued Data AISTATS 2025 Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models ICLR 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction ICLR 2025 Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures ICLR 2025 ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention AAAI 2025 Active Reinforcement Learning for Robust Building Control AAAI 2024 AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring CVPR 2024 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024 ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 A Lie Group Approach to Riemannian Batch Normalization ICLR 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024 Batch normalization is sufficient for universal function approximation in CNNs ICLR 2024