neural network

CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023 Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NeurIPS 2023 Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction AAAI 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023 Cross-Layer Retrospective Retrieving via Layer Attention ICLR 2023 CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023 CRT-6D: Fast 6D Object Pose Estimation With Cascaded Refinement Transformers WACV 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts NeurIPS 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks CVPR 2023 Data Consistent Deep Rigid MRI Motion Correction MIDL 2023 Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer ICLR 2023 DataDAM: Efficient Dataset Distillation with Attention Matching ICCV 2023 Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System AAAI 2023 DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization CVPR 2023 DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field NeurIPS 2023 Decision-Making Context Interaction Network for Click-Through Rate Prediction AAAI 2023 Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction ICCV 2023 Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses NeurIPS 2023 Deep Active Learning for Morphophonological Processing ACL 2023 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023 Deep Kernel Regression with Finite Learnable Kernels ACML 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023