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Stefano Ermon | Evan Sheehan | Burak Uzkent | Kumar Ayush | Shuvam Chakraborty | Kumar Tanmay | S. Ermon | Evan Sheehan | B. Uzkent | Shuvam Chakraborty | Kumar Ayush | K. Tanmay | Stefano Ermon
[1] Jonathan Krause,et al. 3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[2] Kaiming He,et al. Improved Baselines with Momentum Contrastive Learning , 2020, ArXiv.
[3] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[4] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[5] Ruimao Zhang,et al. Cost-Effective Active Learning for Deep Image Classification , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[7] Quoc V. Le,et al. Domain Adaptive Transfer Learning with Specialist Models , 2018, ArXiv.
[8] Yang Song,et al. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Julien Mairal,et al. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments , 2020, NeurIPS.
[10] Kaiming He,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Kilian Q. Weinberger,et al. On Calibration of Modern Neural Networks , 2017, ICML.
[12] Yizhou Yu,et al. Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Mijung Park,et al. Bayesian active learning with localized priors for fast receptive field characterization , 2012, NIPS.
[14] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[15] Silvio Savarese,et al. Active Learning for Convolutional Neural Networks: A Core-Set Approach , 2017, ICLR.
[16] Matthew J. Hoffman,et al. Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[17] Kimin Lee,et al. Using Pre-Training Can Improve Model Robustness and Uncertainty , 2019, ICML.
[18] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[19] Stefano Ermon,et al. Cloud Removal from Satellite Images using Spatiotemporal Generator Networks , 2020 .
[20] Zoubin Ghahramani,et al. Deep Bayesian Active Learning with Image Data , 2017, ICML.
[21] Stefano Ermon,et al. Learning to Interpret Satellite Images in Global Scale Using Wikipedia , 2019, ArXiv.
[22] Pietro Perona,et al. Caltech-UCSD Birds 200 , 2010 .
[23] Andreas Nürnberger,et al. The Power of Ensembles for Active Learning in Image Classification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Stefano Ermon,et al. Learning When and Where to Zoom With Deep Reinforcement Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Ronald M. Summers,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.
[26] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[27] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Eric Horvitz,et al. Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting , 2019, DGS@ICLR.
[29] Quoc V. Le,et al. Do Better ImageNet Models Transfer Better? , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Stefano Ermon,et al. Learning to Interpret Satellite Images Using Wikipedia , 2018, IJCAI.
[31] Michal Valko,et al. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning , 2020, NeurIPS.
[32] Matthijs Douze,et al. Fixing the train-test resolution discrepancy , 2019, NeurIPS.
[33] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[34] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[35] Ning Qian,et al. On the momentum term in gradient descent learning algorithms , 1999, Neural Networks.
[36] Sanja Fidler,et al. Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Gordon Christie,et al. Functional Map of the World , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Stefano Ermon,et al. Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping , 2015, AAAI.
[39] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[41] Alexei A. Efros,et al. What makes ImageNet good for transfer learning? , 2016, ArXiv.
[42] Stefano Ermon,et al. Efficient Object Detection in Large Images Using Deep Reinforcement Learning , 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
[43] Yang Song,et al. The iNaturalist Species Classification and Detection Dataset , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.