neural network

Parallel Backpropagation for Shared-Feature Visualization NeurIPS 2024 Parameterized Projected Bellman Operator AAAI 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NeurIPS 2024 ParamISP: Learned Forward and Inverse ISPs using Camera Parameters CVPR 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation CVPR 2024 Partially Stochastic Infinitely Deep Bayesian Neural Networks ICML 2024 PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization WACV 2024 Path-Guided Particle-based Sampling ICML 2024 PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024 PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs IJCAI 2024 Permutation-Based Hypothesis Testing for Neural Networks AAAI 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024 PhISH-Net: Physics Inspired System for High Resolution Underwater Image Enhancement WACV 2024 Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings ICLR 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 Piecewise regression via mixed-integer programming for MPC L4DC 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 Pixel-Grounded Prototypical Part Networks WACV 2024 Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models ICLR 2024 Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis AAAI 2024 PointPatchMix: Point Cloud Mixing with Patch Scoring AAAI 2024 Point Transformer V3: Simpler Faster Stronger CVPR 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024