Neural Networks

A Neural Height-Map Approach for the Binocular Photometric Stereo Problem WACV 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions ICML 2024 An Evaluation of Croatian ASR Models for Čakavian Transcription COLING 2024 A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization ICML 2024 ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image CVPR 2024 An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network ICML 2024 An Intrinsic Vector Heat Network ICML 2024 An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks ICLR 2024 An NCDE-based Framework for Universal Representation Learning of Time Series IJCAI 2024 Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding AAAI 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 Anti-spoofing Ensembling Model: Dynamic Weight Allocation in Ensemble Models for Improved Voice Biometrics Security Interspeech 2024 Any-dimensional equivariant neural networks AISTATS 2024 A path-norm toolkit for modern networks: consequences, promises and challenges ICLR 2024 A Planar-Symmetric SO(3) Representation for Learning Grasp Detection CoRL 2024 A Plug-and-Play Image Registration Network ICLR 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Approximately Equivariant Neural Processes NeurIPS 2024 Approximately Piecewise E(3) Equivariant Point Networks ICLR 2024 A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields AAAI 2024 A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs ICML 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NeurIPS 2024