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Neural Network Optimization

3,649 papers

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Papers

Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win AAAI 2022
JFB: Jacobian-Free Backpropagation for Implicit Networks AAAI 2022
Smoothing Advantage Learning AAAI 2022
Learning Expected Emphatic Traces for Deep RL AAAI 2022
A Computable Definition of the Spectral Bias AAAI 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Episodic Policy Gradient Training AAAI 2022
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling AAAI 2022
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse AAAI 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
Reverse Differentiation via Predictive Coding AAAI 2022
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications AAAI 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method AAAI 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
Fractional Adaptive Linear Units AAAI 2022
Neural Piecewise-Constant Delay Differential Equations AAAI 2022
Learning from Mistakes – a Framework for Neural Architecture Search AAAI 2022
AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022