Neural Networks

PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images ICLR 2024 Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models EACL 2024 PAIR: Perception Aided Image Restoration for Natural Driving Conditions WACV 2024 Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion AAAI 2024 PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images CVPR 2024 Parallel Backpropagation for Shared-Feature Visualization NeurIPS 2024 Parallelizing non-linear sequential models over the sequence length ICLR 2024 Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining L4DC 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NeurIPS 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 ParamISP: Learned Forward and Inverse ISPs using Camera Parameters CVPR 2024 PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling ICML 2024 PARIS: Pseudo-AutoRegressIve Siamese Training for Online Speech Separation Interspeech 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NeurIPS 2024 PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization WACV 2024 Pathwise Explanation of ReLU Neural Networks AISTATS 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming ICML 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 PFGS: High Fidelity Point Cloud Rendering via Feature Splatting ECCV 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024