Research

Papers for “image classification”

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

Title	Authors	Year	Source
Domain Agnostic Learning with Disentangled Representations	Xingchao Peng, Zijun Huang, Ximeng Sun	2019	arxiv 1904.12347
Tucker Decomposition Network: Expressive Power and Comparison	Ye Liu, Junjun Pan, Michael Ng	2019	arxiv 1905.09635
An empirical study of pretrained representations for few-shot classification	Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti	2019	arxiv 1910.01319
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks	Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou	2020	arxiv 2001.06099
Retrain or not retrain? -- efficient pruning methods of deep CNN networks	Marcin Pietron, Maciej Wielgosz	2020	arxiv 2002.07051
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm	Sungwon Han, Yizhan Xu, Sungwon Park	2020	arxiv 2002.12158
A Free-Energy Principle for Representation Learning	Yansong Gao, Pratik Chaudhari	2020	arxiv 2002.12406
On Parameter Tuning in Meta-learning for Computer Vision	Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia	2020	arxiv 2003.00837
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation	Seungju Cho, Tae Joon Jun, Byungsoo Oh	2019	arxiv 1908.05195
DenseNet Models for Tiny ImageNet Classification	Zoheb Abai, Nishad Rajmalwar	2019	arxiv 1904.10429
Adversarial Robustness on In- and Out-Distribution Improves Explainability	Maximilian Augustin, Alexander Meinke, Matthias Hein	2020	arxiv 2003.09461
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking Using off-the-shelf NVM Chips	Supriya Chakraborty, Abhishek Gupta, Manan Suri	2020	arxiv 2006.05696
On Connections between Regularizations for Improving DNN Robustness	Yiwen Guo, Long Chen, Yurong Chen	2020	arxiv 2007.02209
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units	Guangli Li, Lei Liu, Xueying Wang	2020	arxiv 2003.08646
HASeparator: Hyperplane-Assisted Softmax	Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis	2020	arxiv 2008.03539
Hierarchical Expert Networks for Meta-Learning	Heinke Hihn, Daniel A. Braun	2019	arxiv 1911.00348
Noisy Batch Active Learning with Deterministic Annealing	Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin	2019	arxiv 1909.12473
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks	Ali Mirzaeian, Jana Kosecka, Houman Homayoun	2020	arxiv 2006.15127
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig	2019	arxiv 1903.04064
On Expected Accuracy	Ozan \.Irsoy	2019	arxiv 1905.00448

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