neural network

Text Simplification via Adaptive Teaching ACL 2024 TfCleanformer: A streaming, array-agnostic, full- and sub-band modeling front-end for robust ASR Interspeech 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024 The Effect of Generalisation on the Inadequacy of the Mode EACL 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 Theoretical Understanding of Learning from Adversarial Perturbations ICLR 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning AAAI 2024 TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Topic Detection and Tracking with Time-Aware Document Embeddings COLING 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Topological obstruction to the training of shallow ReLU neural networks NeurIPS 2024 Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model NeurIPS 2024 Towards Backward-Compatible Continual Learning of Image Compression CVPR 2024 Towards Combating Frequency Simplicity-biased Learning for Domain Generalization NeurIPS 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024