Neural Network Optimization
1,004 papers
Papers per year
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13
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20
33
78
132
115
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197
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20
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Papers
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
NeurIPS 2022
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks
AAAI 2022
Gradient Descent: The Ultimate Optimizer
NeurIPS 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
NeurIPS 2022
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
AAAI 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter
CVPR 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
AAAI 2022
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications
AAAI 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
NeurIPS 2022
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
AAAI 2022
I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning
AAAI 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
EMNLP 2022
Interlocking Backpropagation: Improving depthwise model-parallelism
JMLR 2022
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
NeurIPS 2022
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
CVPR 2022
JFB: Jacobian-Free Backpropagation for Implicit Networks
AAAI 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
AAAI 2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect
ICLR 2022
Large-Scale Graph Neural Architecture Search
ICML 2022
LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency
COLING 2022
Learning by Directional Gradient Descent
ICLR 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
NeurIPS 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
NeurIPS 2022
Masked Training of Neural Networks with Partial Gradients
AISTATS 2022