Neural Networks

Omni-Dimensional Dynamic Convolution ICLR 2022 On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks IJCAI 2022 On Breathing Pattern Information in Synthetic Speech Interspeech 2022 OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction COLING 2022 On feature learning in neural networks with global convergence guarantees ICLR 2022 Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022 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-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 the Adversarial Robustness of Mixture of Experts NeurIPS 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 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