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10/21/2021
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Large-scale multi-label classification datasets are commonly, and perhap...
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05/12/2021
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Training a neural network model for recognizing multiple labels associat...
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09/29/2020
Asymmetric Loss For Multi-Label Classification
Pictures of everyday life are inherently multi-label in nature. Hence, m...
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03/30/2020
TResNet: High Performance GPU-Dedicated Architecture
Many deep learning models, developed in recent years, reach higher Image...
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02/19/2020
Knapsack Pruning with Inner Distillation
Neural network pruning reduces the computational cost of an over-paramet...
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12/26/2019
Graph Embedded Pose Clustering for Anomaly Detection
We propose a new method for anomaly detection of human actions. Our meth...
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10/15/2019
Attention Network Robustification for Person ReID
The task of person re-identification (ReID) has attracted growing attent...
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06/19/2019
XNAS: Neural Architecture Search with Expert Advice
This paper introduces a novel optimization method for differential neura...
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04/08/2019
ASAP: Architecture Search, Anneal and Prune
Automatic methods for Neural Architecture Search (NAS) have been shown t...
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07/20/2017