network training

4-bit Shampoo for Memory-Efficient Network Training NeurIPS 2024 Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024 Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training JMLR 2024 DC-BENCH: Dataset Condensation Benchmark NeurIPS 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks NeurIPS 2021 Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization NeurIPS 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Is normalization indispensable for training deep neural network? NeurIPS 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location ICML 2020 Towards Adaptive Residual Network Training: A Neural-ODE Perspective ICML 2020 AdaTransform: Adaptive Data Transformation ICCV 2019 The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes AAAI 2019 A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018 Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS 2018 Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018 Multi-level Residual Networks from Dynamical Systems View ICLR 2018 Towards Binary-Valued Gates for Robust LSTM Training ICML 2018 Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016 Gradual DropIn of Layers to Train Very Deep Neural Networks CVPR 2016