Research

Papers for “image classification”

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

Title	Authors	Year	Source
Dropout Distillation for Efficiently Estimating Model Confidence	Corina Gurau, Alex Bewley, Ingmar Posner	2018	arxiv 1809.10562
Weak-supervision for Deep Representation Learning under Class Imbalance	Shin Ando	2018	arxiv 1810.12513
Bayesian Model-Agnostic Meta-Learning	Taesup Kim, Jaesik Yoon, Ousmane Dia	2018	arxiv 1806.03836
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture	Shichao Li, Xin Yang, Tim Cheng	2018	arxiv 1812.00647
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks	Steffen Eger, Paul Youssef, Iryna Gurevych	2019	arxiv 1901.02671
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification	Cheng Xue, Qi Dou, Xueying Shi	2019	arxiv 1901.07759
Capsule Networks against Medical Imaging Data Challenges	Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus	2018	arxiv 1807.07559
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge	Md Ashraful Alam Milton	2019	arxiv 1902.01031
Food Image Recognition by Using Convolutional Neural Networks (CNNs)	Yuzhen Lu	2016	arxiv 1612.00983
ViTOR: Learning to Rank Webpages Based on Visual Features	Bram van den Akker, Ilya Markov, Maarten de Rijke	2019	arxiv 1903.02939
Visualization, Discriminability and Applications of Interpretable Saak Features	Abinaya Manimaran, Thiyagarajan Ramanathan, Suya You	2019	arxiv 1902.09107
Fixup Initialization: Residual Learning Without Normalization	Hongyi Zhang, Yann N. Dauphin, Tengyu Ma	2019	arxiv 1901.09321
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading	Jordi de la Torre, Aida Valls, Domenec Puig	2017	arxiv 1712.08107
Joint Learning of Neural Networks via Iterative Reweighted Least Squares	Zaiwei Zhang, Xiangru Huang, Qixing Huang	2019	arxiv 1905.06526
Deep multi-class learning from label proportions	Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi	2019	arxiv 1905.12909
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection	Laurent Gomez, Marcus Wilhelm, José Márquez	2019	arxiv 1907.04246
Defending Against Universal Perturbations With Shared Adversarial Training	Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen	2018	arxiv 1812.03705
Deep Dictionary Learning: A PARametric NETwork Approach	Shahin Mahdizadehaghdam, Ashkan Panahi, Hamid Krim	2018	arxiv 1803.04022
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output	Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay	2019	arxiv 1910.10307
Parting with Illusions about Deep Active Learning	Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek	2019	arxiv 1912.05361

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