Neural Network Optimization
4,155 papers
Papers per year
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Papers
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
NeurIPS 2020
Going Deeper With Lean Point Networks
CVPR 2020
Gradient ℓ_1 Regularization for Quantization Robustness
ICLR 2020
Gradient-based Analysis of NLP Models is Manipulable
EMNLP 2020
Gradient descent follows the regularization path for general losses
COLT 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
AISTATS 2020
Gradients as Features for Deep Representation Learning
ICLR 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
ICML 2020
Growing Adaptive Multi-hyperplane Machines
ICML 2020
Hasyarasa at SemEval-2020 Task 7: Quantifying Humor as Departure from Expectedness
SemEval 2020
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis
AAAI 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
CVPR 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
CVPR 2020
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
NeurIPS 2020
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification
AAAI 2020
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
NeurIPS 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
COLT 2020
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
COLT 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
NeurIPS 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization
NeurIPS 2020
Improved memory in recurrent neural networks with sequential non-normal dynamics
ICLR 2020
Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants
Interspeech 2020
Improving First-Order Optimization Algorithms (Student Abstract)
AAAI 2020
Improving Neural Network Training in Low Dimensional Random Bases
NeurIPS 2020
Improving the Gating Mechanism of Recurrent Neural Networks
ICML 2020