Architectures

Online Training Through Time for Spiking Neural Networks NeurIPS 2022 Online-Updated High-Order Collaborative Networks for Single Image Deraining AAAI 2022 On Margin Maximization in Linear and ReLU Networks NeurIPS 2022 On Measuring Excess Capacity in Neural Networks NeurIPS 2022 On Non-Linear operators for Geometric Deep Learning NeurIPS 2022 On Non-local Convergence Analysis of Deep Linear Networks ICML 2022 On Numerical Integration in Neural Ordinary Differential Equations ICML 2022 On Scrambling Phenomena for Randomly Initialized Recurrent Networks NeurIPS 2022 On Target Representation in Continuous-output Neural Machine Translation ACL 2022 On the Adversarial Robustness of Mixture of Experts NeurIPS 2022 On the approximation properties of recurrent encoder-decoder architectures ICLR 2022 On the Certified Robustness for Ensemble Models and Beyond ICLR 2022 On the Connection between Local Attention and Dynamic Depth-wise Convolution ICLR 2022 On the difficulty of learning chaotic dynamics with RNNs NeurIPS 2022 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NeurIPS 2022 On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NeurIPS 2022 On the Equivalence Between Temporal and Static Equivariant Graph Representations ICML 2022 On the Existence of Universal Lottery Tickets ICLR 2022 On the Frequency-bias of Coordinate-MLPs NeurIPS 2022 On the generalization of learning algorithms that do not converge NeurIPS 2022 On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model NeurIPS 2022 On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022 On the inductive bias of neural networks for learning read-once DNFs UAI 2022 On the Integration of Self-Attention and Convolution CVPR 2022 On the Interpretability of Attention Networks ACML 2022