Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Gated Channel Transformation for Visual Recognition	Zongxin Yang, Linchao Zhu, Yu Wu	2019	arxiv 1909.11519
Learning to Select Base Classes for Few-shot Classification	Linjun Zhou, Peng Cui, Xu Jia	2020	arxiv 2004.00315
Weakly Supervised Dataset Collection for Robust Person Detection	Munetaka Minoguchi, Ken Okayama, Yutaka Satoh	2020	arxiv 2003.12263
Generalized Reinforcement Meta Learning for Few-Shot Optimization	Raviteja Anantha, Stephen Pulman, Srinivas Chappidi	2020	arxiv 2005.01246
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs	Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash	2019	arxiv 1906.10842
Mixed Precision DNNs: All you need is a good parametrization	Stefan Uhlich, Lukas Mauch, Fabien Cardinaux	2019	arxiv 1905.11452
CNN Acceleration by Low-rank Approximation with Quantized Factors	Nikolay Kozyrskiy, Anh-Huy Phan	2020	arxiv 2006.08878
From Quantized DNNs to Quantizable DNNs	Kunyuan Du, Ya Zhang, Haibing Guan	2020	arxiv 2004.05284
Towards Robust Classification with Image Quality Assessment	Yeli Feng, Yiyu Cai	2020	arxiv 2004.06288
Identification of Cervical Pathology using Adversarial Neural Networks	Abhilash Nandy, Rachana Sathish, Debdoot Sheet	2020	arxiv 2004.13406
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization	Saehyung Lee, Hyungyu Lee, Sungroh Yoon	2020	arxiv 2003.02484
Scratch that! An Evolution-based Adversarial Attack against Neural Networks	Malhar Jere, Loris Rossi, Briland Hitaj	2019	arxiv 1912.02316
Bayesian Zero-Shot Learning	Sarkhan Badirli, Zeynep Akata, Murat Dundar	2019	arxiv 1907.09624
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach	William Falcon, Kyunghyun Cho	2020	arxiv 2009.00104
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework	Junjie Liu, Dongchao Wen, Deyu Wang	2020	arxiv 2009.04626
Denoised Smoothing: A Provable Defense for Pretrained Classifiers	Hadi Salman, Mingjie Sun, Greg Yang	2020	arxiv 2003.01908
What it Thinks is Important is Important: Robustness Transfers through Input Gradients	Alvin Chan, Yi Tay, Yew-Soon Ong	2019	arxiv 1912.05699
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks	Yusuke Tashiro, Yang Song, Stefano Ermon	2020	arxiv 2003.06878
Neuron Shapley: Discovering the Responsible Neurons	Amirata Ghorbani, James Zou	2020	arxiv 2002.09815
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?	Longhui Wei, Lingxi Xie, Jianzhong He	2020	arxiv 2011.08621

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