Model Architecture

4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters WACV 2024 A 2-Dimensional State Space Layer for Spatial Inductive Bias ICLR 2024 A2XP: Towards Private Domain Generalization CVPR 2024 A Benchmark Study on Calibration ICLR 2024 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 Accelerating Transformers with Spectrum-Preserving Token Merging NeurIPS 2024 A Characterization Theorem for Equivariant Networks with Point-wise Activations ICLR 2024 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024 A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning IJCAI 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP NAACL 2024 Adapters Strike Back CVPR 2024 Adaptive Depth Networks with Skippable Sub-Paths NeurIPS 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks CVPR 2024 AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor CVPR 2024 Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ICLR 2024 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024 Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NeurIPS 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Adversarial AutoMixup ICLR 2024 Adversarial Feature Map Pruning for Backdoor ICLR 2024 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NeurIPS 2024 A Functional Extension of Semi-Structured Networks NeurIPS 2024