Research

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
DARTS: Differentiable Architecture Search	Hanxiao Liu, Karen Simonyan, Yiming Yang	2018	arxiv 1806.09055
Domain-independent Dominance of Adaptive Methods	Pedro Savarese, David McAllester, Sudarshan Babu	2019	arxiv 1912.01823
Momentum Contrast for Unsupervised Visual Representation Learning	Kaiming He, Haoqi Fan, Yuxin Wu	2019	arxiv 1911.05722
Self-Supervised Representation Learning on Document Images	Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess	2020	arxiv 2004.10605
Meta Approach to Data Augmentation Optimization	Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe	2020	arxiv 2006.07965
Sequential Feature Filtering Classifier	Minseok Seo, Jaemin Lee, Jongchan Park	2020	arxiv 2006.11808
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons	Zahra Sadeghi	2018	arxiv 1811.00161
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones	Vivek Parmar, Narayani Bhatia, Shubham Negi	2020	arxiv 2007.02839
Yet Another Intermediate-Level Attack	Qizhang Li, Yiwen Guo, Hao Chen	2020	arxiv 2008.08847
TinyGAN: Distilling BigGAN for Conditional Image Generation	Ting-Yun Chang, Chi-Jen Lu	2020	arxiv 2009.13829
Explaining image classifiers by removing input features using generative models	Chirag Agarwal, Anh Nguyen	2019	arxiv 1910.04256
Adversarial Boot Camp: label free certified robustness in one epoch	Ryan Campbell, Chris Finlay, Adam M Oberman	2020	arxiv 2010.02508
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients	Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs	2020	arxiv 2011.08555
Convolutional STN for Weakly Supervised Object Localization	Akhil Meethal, Marco Pedersoli, Soufiane Belharbi	2019	arxiv 1912.01522
Revisiting "Qualitatively Characterizing Neural Network Optimization Problems"	Jonathan Frankle	2020	arxiv 2012.06898
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet	Youshan Zhang, Brian D. Davison	2019	arxiv 1904.02322
Emerging Convolutions for Generative Normalizing Flows	Emiel Hoogeboom, Rianne van den Berg, Max Welling	2019	arxiv 1901.11137
Learning to Interpret Satellite Images in Global Scale Using Wikipedia	Burak Uzkent, Evan Sheehan, Chenlin Meng	2019	arxiv 1905.02506
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps	Beomsu Kim, Junghoon Seo, SeungHyun Jeon	2019	arxiv 1902.04893
Fast AutoAugment	Sungbin Lim, Ildoo Kim, Taesup Kim	2019	arxiv 1905.00397

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