标签:clustering

Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks

Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks Julieta Martinez∗,1  Jashan Shewakramani∗,1,2  Ting Wei Liu∗,1,2Ioan An……

Black-Box Optimization of Object Detector Scales

Black-Box Optimization of Object Detector Scales Mohandass MuthurajaHochschule Bonn-Rhein-Sieg, Sankt Augustin 53757, Germanymohandass.psgrobo@gmail.com  Octavio Arriag……

Data Agnostic Filter Gating for Efficient Deep Networks

Data Agnostic Filter Gating for Efficient Deep Networks Xiu Su1[Shan You[Tao Huang[Hongyan Xu[Fei Wang[Chen Qian[Changshui Zhang[Chang Xu[School of Computer Science, Faculty of E……

Self-Awareness In Intelligent Vehicles: Experience based Abnormality Detection

Self-Awareness In Intelligent Vehicles: Experience based Abnormality Detection Divya Kanapram 1,31University of Genova, Italy. divya.kanapram@ginevra.dibe.unige.it, {carlo.regazz……

Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles

Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles M. Tarik Altuncu∗Department of Mathematics∗ and Depa……

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun, Katherine L. BoumanCalifornia Institute of Tech……

Improving Word Recognition using Multiple Hypotheses and Deep Embeddings

Improving Word Recognition using Multiple Hypotheses and Deep Embeddings Siddhant Bansal CVIT, IIIT, Hyderabad, Indiasiddhant.bansal@students.iiit.ac.in  Praveen Krishn……

Discovering and Interpreting Conceptual Biases in Online Communities

Discovering and Interpreting Conceptual Biases in Online Communities Xavier Ferrer-Aran, Tom van Nuenen, Natalia Criado, Jose M. Such Xavier Ferrer, Department of Informatics, K……

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting Lijing Wang12, Aniruddha Adiga2, Srinivasan Venkatramanan2, Jiangzhuo Chen2, Bryan Lewis2 and M……

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention Linlin HouCenter for CombinatoricsNanKai UniversityTianjin, Chinallhou@mail.……