neural network architecture

Building Variable-Sized Models via Learngene Pool AAAI 2024 Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach ICLR 2024 Deep Submodular Peripteral Networks NeurIPS 2024 DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models ICLR 2024 Diversifying and Expanding Frequency-Adaptive Convolution Kernels for Sound Event Detection Interspeech 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 Even Sparser Graph Transformers NeurIPS 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction AAAI 2024 How Important is a Language Model for Low-resource ASR? ACL 2024 Hybrid Directional Graph Neural Network for Molecules ICLR 2024 HydraViT: Stacking Heads for a Scalable ViT NeurIPS 2024 Identifiability of Product of Experts Models AISTATS 2024 Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions JMLR 2024 Improving Neural Network Surface Processing with Principal Curvatures NeurIPS 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024 Learning Generalized Linear Programming Value Functions NeurIPS 2024 LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024 LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis WACV 2024 Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024 MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation WACV 2024 Matryoshka Diffusion Models ICLR 2024 MCA: Moment Channel Attention Networks AAAI 2024 Mixture of Nested Experts: Adaptive Processing of Visual Tokens NeurIPS 2024