Neural Networks

Learning Dynamic Style Kernels for Artistic Style Transfer CVPR 2023 Learning Efficient Surrogate Dynamic Models with Graph Spline Networks NeurIPS 2023 Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023 Learning Harmonic Molecular Representations on Riemannian Manifold ICLR 2023 Learning in RKHM: a C*-Algebraic Twist for Kernel Machines AISTATS 2023 Learning Label Encodings for Deep Regression ICLR 2023 Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 Learning Locally Editable Virtual Humans CVPR 2023 Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets ICLR 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency ICLR 2023 Learning Neural Implicit Surfaces with Object-Aware Radiance Fields ICCV 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection CVPR 2023 Learning ReLU networks to high uniform accuracy is intractable ICLR 2023 Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023 Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NeurIPS 2023 Learning Steerable Function for Efficient Image Resampling CVPR 2023 Learning the Character Inventories of Undeciphered Scripts Using Unsupervised Deep Clustering ACL 2023 Learning the dynamics of autonomous nonlinear delay systems L4DC 2023 Learning to Receive Help: Intervention-Aware Concept Embedding Models NeurIPS 2023 Learning Transferable Spatiotemporal Representations From Natural Script Knowledge CVPR 2023 Learning where and when to reason in neuro-symbolic inference ICLR 2023 Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023 LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction NeurIPS 2023 Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks AAAI 2023