Neural Network Optimization
4,155 papers
Papers per year
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Papers
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NeurIPS 2021
Continuous vs. Discrete Optimization of Deep Neural Networks
NeurIPS 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
ACL 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
NeurIPS 2021
Convergence of adaptive algorithms for constrained weakly convex optimization
NeurIPS 2021
Convergence rates and approximation results for SGD and its continuous-time counterpart
COLT 2021
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
NeurIPS 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NeurIPS 2021
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
IJCAI 2021
Coreference Resolution without Span Representations
ACL 2021
Coupled Gradient Estimators for Discrete Latent Variables
NeurIPS 2021
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
ICLR 2021
Credit Assignment in Neural Networks through Deep Feedback Control
NeurIPS 2021
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
AISTATS 2021
Cross-Camera Convolutional Color Constancy
ICCV 2021
Cyclically Equivariant Neural Decoders for Cyclic Codes
ICML 2021
Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
WACV 2021
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
CVPR 2021
DDPNOpt: Differential Dynamic Programming Neural Optimizer
ICLR 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
ICML 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
Deconstructing the Regularization of BatchNorm
ICLR 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training
NeurIPS 2021
Deep Networks and the Multiple Manifold Problem
ICLR 2021
Deep Networks Provably Classify Data on Curves
NeurIPS 2021