neural network optimization

DepGraph: Towards Any Structural Pruning CVPR 2023 Depth Separation with Multilayer Mean-Field Networks ICLR 2023 Deterministic Nonsmooth Nonconvex Optimization COLT 2023 Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning ICML 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 DoG is SGD’s Best Friend: A Parameter-Free Dynamic Step Size Schedule ICML 2023 DOT: A Distillation-Oriented Trainer ICCV 2023 Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine AAAI 2023 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023 Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks NeurIPS 2023 Efficient Activation Function Optimization through Surrogate Modeling NeurIPS 2023 Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method IJCAI 2023 EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data ICLR 2023 Equilibrium Point Learning ACML 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 Expected Gradients of Maxout Networks and Consequences to Parameter Initialization ICML 2023 Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract) AAAI 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Factual Consistency Oriented Speech Recognition Interspeech 2023 Fast Adversarial Training with Smooth Convergence ICCV 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 Feature-Learning Networks Are Consistent Across Widths At Realistic Scales NeurIPS 2023