neural network

Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 LCGbank: A Corpus of Syntactic Analyses Based on Proof Nets COLING 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling NeurIPS 2024 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction ECCV 2024 Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation NeurIPS 2024 Learning 3D Garment Animation from Trajectories of A Piece of Cloth NeurIPS 2024 Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking IJCAI 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning Degradation-Independent Representations for Camera ISP Pipelines CVPR 2024 Learning diffusion at lightspeed NeurIPS 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Hierarchical Polynomials with Three-Layer Neural Networks ICLR 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Learning Neural Networks with Sparse Activations COLT 2024 Learning Place Cell Representations and Context-Dependent Remapping NeurIPS 2024 Learning Polynomial Problems with SL(2, R)-Equivariance ICLR 2024 Learning predictable and robust neural representations by straightening image sequences NeurIPS 2024 Learning Structure-Aware Representations of Dependent Types NeurIPS 2024 Learning Structure-from-Motion with Graph Attention Networks CVPR 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024