Optimization & Theory

NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) AAAI 2022 Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path ICLR 2022 Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NeurIPS 2022 Neural Data-Dependent Transform for Learned Image Compression CVPR 2022 Neural Deep Equilibrium Solvers ICLR 2022 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NeurIPS 2022 Neural Network Architecture Beyond Width and Depth NeurIPS 2022 Neural Networks can Learn Representations with Gradient Descent COLT 2022 Neural Networks Classify through the Class-Wise Means of Their Representations AAAI 2022 Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective ICML 2022 Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NeurIPS 2022 Neural Stochastic Dual Dynamic Programming ICLR 2022 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022 Neuron with Steady Response Leads to Better Generalization NeurIPS 2022 NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration CVPR 2022 Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022 Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems NAACL 2022 Non-Autoregressive Models for Fast Sequence Generation EMNLP 2022 Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares COLT 2022 Non-deep Networks NeurIPS 2022 Non-Gaussian Tensor Programs NeurIPS 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022 Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NeurIPS 2022