Neural Network Optimization
4,155 papers
Papers per year
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76
113
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Papers
Improving Transformer Models by Reordering their Sublayers
ACL 2020
Improving Transformer Optimization Through Better Initialization
ICML 2020
Incorporating Noisy Length Constraints into Transformer with Length-aware Positional Encodings
COLING 2020
Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention
COLING 2020
Inefficiency of K-FAC for Large Batch Size Training
AAAI 2020
Inference Strategies for Machine Translation with Conditional Masking
EMNLP 2020
Information Geometry of Orthogonal Initializations and Training
ICLR 2020
InstaNAS: Instance-Aware Neural Architecture Search
AAAI 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
NeurIPS 2020
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
NeurIPS 2020
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising
Interspeech 2020
Is normalization indispensable for training deep neural network?
NeurIPS 2020
Joint Detection of Sentence Stress and Phrase Boundary for Prosody
Interspeech 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
NeurIPS 2020
KungFu: Making Training in Distributed Machine Learning Adaptive
OSDI 2020
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
ICML 2020
Language Model Prior for Low-Resource Neural Machine Translation
EMNLP 2020
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
ICLR 2020
Learning Architectures from an Extended Search Space for Language Modeling
ACL 2020
Learning compositional functions via multiplicative weight updates
NeurIPS 2020
Learning Dynamic Routing for Semantic Segmentation
CVPR 2020
Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching
AAAI 2020
Learning Parities with Neural Networks
NeurIPS 2020
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging
CVPR 2020
Learning Rate Adaptation for Differentially Private Learning
AISTATS 2020