Neural Networks

Offline and Online Optical Flow Enhancement for Deep Video Compression AAAI 2024 Omni-Kernel Network for Image Restoration AAAI 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 On a Neural Implementation of Brenier’s Polar Factorization ICML 2024 On Bias-Variance Alignment in Deep Models ICLR 2024 On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis ICML 2024 On Efficiently Representing Regular Languages as RNNs ACL 2024 One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024 One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective CoNLL 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 OnlineTAS: An Online Baseline for Temporal Action Segmentation NeurIPS 2024 Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? NeurIPS 2024 On the Calibration of Human Pose Estimation ICML 2024 On the Diminishing Returns of Width for Continual Learning ICML 2024 On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks JMLR 2024 On the Expressivity of Recurrent Neural Cascades AAAI 2024 On the Foundations of Shortcut Learning ICLR 2024 On the Generalization and Approximation Capacities of Neural Controlled Differential Equations ICLR 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024 On the Nonlinearity of Layer Normalization ICML 2024 On the Sample Complexity of Two-Layer Networks: Lipschitz Vs. Element-Wise Lipschitz Activation ALT 2024 On the Sparsity of the Strong Lottery Ticket Hypothesis NeurIPS 2024 On the Vulnerability of Skip Connections to Model Inversion Attacks ECCV 2024