Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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453
859
1,652
3,233
5,368
6,434
7,726
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12,524
14,487
6,029
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Papers (including subtopics)
Optimization and Evaluation of an Intelligibility-Improving Signal Processing Approach (IISPA) for the Hurricane Challenge 2.0 with FADE
Interspeech 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
NeurIPS 2020
Optimization Learning: Perspective, Method, and Applications
IJCAI 2020
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
ICML 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation
AISTATS 2020
Optimizing Mode Connectivity via Neuron Alignment
NeurIPS 2020
Optimizing Neural Networks via Koopman Operator Theory
NeurIPS 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
AAAI 2020
Optimizing Through Learned Errors for Accurate Sports Field Registration
WACV 2020
Optimizing Transformer for Low-Resource Neural Machine Translation
COLING 2020
Optimizing Word Segmentation for Downstream Task
EMNLP 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
EMNLP 2020
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication
Interspeech 2020
Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification
AAAI 2020
Orderless Recurrent Models for Multi-Label Classification
CVPR 2020
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection
AAAI 2020
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search
CVPR 2020
Organizing recurrent network dynamics by task-computation to enable continual learning
NeurIPS 2020
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
CVPR 2020
Orthogonal Convolutional Neural Networks
CVPR 2020
Orthogonal Gradient Descent for Continual Learning
AISTATS 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks
ICML 2020
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control
AAAI 2020
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax
CVPR 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization
CVPR 2020