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Neural Network Optimization

3,649 papers

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Papers

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution NIPS 2021
Explicit loss asymptotics in the gradient descent training of neural networks NIPS 2021
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance AAAI 2021
Meta Learning in the Continuous Time Limit AISTATS 2021
Luna: Linear Unified Nested Attention NIPS 2021
Revisiting Weight Initialization of Deep Neural Networks ACML 2021
On the Expected Complexity of Maxout Networks NIPS 2021
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NIPS 2021
Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling EMNLP 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks COLT 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates AISTATS 2021
Safety Assurance for Systems with Machine Learning Components AAAI 2021
Memory-Gated Recurrent Networks AAAI 2021
A Unified Encoding of Structures in Transition Systems EMNLP 2021
Accelerating Neural Architecture Search via Proxy Data IJCAI 2021
Reliably Fast Adversarial Training via Latent Adversarial Perturbation ICCV 2021
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension AAAI 2021
Teacher Guided Neural Architecture Search for Face Recognition AAAI 2021
A Convergence Analysis of Gradient Descent on Graph Neural Networks NIPS 2021
Exponentially Many Local Minima in Quantum Neural Networks ICML 2021
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation ICML 2021
SWAD: Domain Generalization by Seeking Flat Minima NIPS 2021