training dynamics

Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks WACV 2021 Deep Learning on a Data Diet: Finding Important Examples Early in Training NeurIPS 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations NeurIPS 2021 Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training NeurIPS 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization IJCAI 2021 Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit JMLR 2021 Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics ICML 2021 The Dynamics of Gradient Descent for Overparametrized Neural Networks L4DC 2021 Training Dynamic based data filtering may not work for NLP datasets EMNLP 2021 What training reveals about neural network complexity NeurIPS 2021 Asymptotics of Wide Networks from Feynman Diagrams ICLR 2020 Cooperative Initialization based Deep Neural Network Training WACV 2020 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel NeurIPS 2020 Finding trainable sparse networks through Neural Tangent Transfer ICML 2020 Frequency Bias in Neural Networks for Input of Non-Uniform Density ICML 2020 Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process COLT 2020 On the Robustness and Training Dynamics of Raw Waveform Models Interspeech 2020 On the training dynamics of deep networks with L_2 regularization NeurIPS 2020 Predicting Training Time Without Training NeurIPS 2020 Towards a General Theory of Infinite-Width Limits of Neural Classifiers ICML 2020 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 An Empirical Study of Example Forgetting during Deep Neural Network Learning ICLR 2019