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Neural Network Optimization

3,648 papers

Papers per year

Papers

Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023
Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023
Hyperblock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation WACV 2023
Searching Efficient Neural Architecture With Multi-Resolution Fusion Transformer for Appearance-Based Gaze Estimation WACV 2023
Modeling Stroke Mask for End-to-End Text Erasing WACV 2023
Toward Edge-Efficient Dense Predictions With Synergistic Multi-Task Neural Architecture Search WACV 2023
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search NIPS 2022
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks NIPS 2022
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures NIPS 2022
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks NIPS 2022
Better SGD using Second-order Momentum NIPS 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NIPS 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases NIPS 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NIPS 2022
VectorAdam for Rotation Equivariant Geometry Optimization NIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis NIPS 2022
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration NIPS 2022
Chaotic Dynamics are Intrinsic to Neural Network Training with SGD NIPS 2022
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture NIPS 2022
Neural Network Architecture Beyond Width and Depth NIPS 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again NIPS 2022
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization NIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NIPS 2022
Gradient Descent: The Ultimate Optimizer NIPS 2022