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neural network architecture

362 papers

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Co-occurring keywords

neural network (6616) convolutional neural network (4216) model compression (3283) image classification (1943) representation learning (6174) object detection (2759) attention mechanism (3975) deep learning (2111) efficient computing (779) computer vision (735)

Papers

SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis CVPR 2020
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation CVPR 2020
Fast Sparse ConvNets CVPR 2020
Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020
Language-Conditioned Feature Pyramids for Visual Selection Tasks EMNLP 2020
Dataless Model Selection With the Deep Frame Potential CVPR 2020
Neural Contours: Learning to Draw Lines From 3D Shapes CVPR 2020
Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks ACML 2020
EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer CORL 2020
RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction SEMEVAL 2020
Filter Distillation for Network Compression WACV 2020
Deep Adaptive Wavelet Network WACV 2020
RGCL at SemEval-2020 Task 6: Neural Approaches to DefinitionExtraction COLING 2020
On Front-End Gain Invariant Modeling for Wake Word Spotting INTERSPEECH 2020
Learning to Generate Maps from Trajectories AAAI 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization AAAI 2020
Fact-based Text Editing ACL 2020
A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020
CvxNet: Learnable Convex Decomposition CVPR 2020
Computing the Testing Error Without a Testing Set CVPR 2020
EfficientDet: Scalable and Efficient Object Detection CVPR 2020
Neural Cages for Detail-Preserving 3D Deformations CVPR 2020
Rethinking pooling in graph neural networks NIPS 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NIPS 2020
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition AAAI 2020