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Convolutional Neural Networks

973 papers

Papers per year

2
63
112
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Papers

Decoupled Dynamic Filter Networks CVPR 2021
RepVGG: Making VGG-Style ConvNets Great Again CVPR 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications CVPR 2021
Dynamic Region-Aware Convolution CVPR 2021
Multi-Stage Progressive Image Restoration CVPR 2021
3D CNNs With Adaptive Temporal Feature Resolutions CVPR 2021
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers CVPR 2021
Rotation Equivariant Siamese Networks for Tracking CVPR 2021
Effective Convolutional Attention Network for Multi-label Clinical Document Classification EMNLP 2021
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning EMNLP 2021
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks EMNLP 2021
Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets EMNLP 2021
Fast Fourier Convolution NIPS 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs NIPS 2020
A Dictionary Approach to Domain-Invariant Learning in Deep Networks NIPS 2020
Detecting Hands and Recognizing Physical Contact in the Wild NIPS 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NIPS 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
Calibrating CNNs for Lifelong Learning NIPS 2020
Sparse Weight Activation Training NIPS 2020
The Convolution Exponential and Generalized Sylvester Flows NIPS 2020
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks NIPS 2020
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification AAAI 2020
Region Focus Network for Joint Optic Disc and Cup Segmentation AAAI 2020
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis AAAI 2020