arXiv papers, July 8, 2019:
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Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units. Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan, and Archan Misra http://arxiv.org/abs/1907.02711
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Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications. Jae Duk Seo http://arxiv.org/abs/1907.02940
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On Inductive Biases in Deep Reinforcement Learning. Matteo Hessel, Hado van Hasselt, Joseph Modayil, and David Silver http://arxiv.org/abs/1907.02908
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Attentive Multi-Task Deep Reinforcement Learning. Timo Bram, Gino Brunner, Oliver Richter, and Roger Wattenhofer http://arxiv.org/abs/1907.02874
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Genetic Network Architecture Search. Hai Victor Habi and Gil Rafalovich http://arxiv.org/abs/1907.02871
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Deep Neural Baselines for Computational Paralinguistics. Daniel Elsner, Stefan Langer, Fabian Ritz, Robert Müller, and Steffen Illium http://arxiv.org/abs/1907.02864
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Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes. Chinnadhurai Sankar and Sujith Ravi http://arxiv.org/abs/1907.02848
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Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, and Daniel Rueckert http://arxiv.org/abs/1907.02766
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Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison Cottrell, and Geoffrey Hinton http://arxiv.org/abs/1907.02957
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Adversarial Robustness through Local Linearization. Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy, Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, and Pushmeet Kohli http://arxiv.org/abs/1907.02610
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Evaluating the distribution learning capabilities of GANs. Amit Rege and Claire Monteleoni http://arxiv.org/abs/1907.02662
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A Survey of Pruning Methods for Efficient Person Re-identification Across Domains. Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, and Eric Granger http://arxiv.org/abs/1907.02547
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Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. Pfeiffer et al. http://arxiv.org/abs/1907.02882
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Incremental Concept Learning via Online Generative Memory Recall. Huaiyu Li, Weiming Dong, and Bao-Gang Hu http://arxiv.org/abs/1907.02788
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A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks. Owen Marschall, Kyunghyun Cho, and Cristina Savin http://arxiv.org/abs/1907.02649
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Invariant Risk Minimization. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz http://arxiv.org/abs/1907.02893
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Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, and Zhou Wang http://arxiv.org/abs/1907.02665
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A Bi-directional Transformer for Musical Chord Recognition. Jonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim, and Jonghun Park http://arxiv.org/abs/1907.02698
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DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning. Lu, Brooks, Hahn, Chen, Buch, Kotecha, Andriole, Ghoshhajra, Pinto, Vozila, Michalski, and Tenenholtz http://arxiv.org/abs/1907.02567
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Distilling with Residual Network for Single Image Super Resolution. Xiaopeng Sun, Wen Lu, Rui Wang, and Furui Bai http://arxiv.org/abs/1907.02843
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Twin Auxiliary Classifiers GAN. Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, and Kayhan Batmanghelich http://arxiv.org/abs/1907.02690
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Zero-shot Learning for Audio-based Music Classification and Tagging. Jeong Choi, Jongpil Lee, Jiyoung Park, and Juhan Nam http://arxiv.org/abs/1907.02670
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An Approximate Bayesian Approach to Surprise-Based Learning. Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, and Johanni Brea http://arxiv.org/abs/1907.02936
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Visus: An Interactive System for Automatic Machine Learning Model Building and Curation. Aécio Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Hong, Cláudio T. Silva, Enrico Bertini, and Juliana Freire http://arxiv.org/abs/1907.02889
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A Novel Deep Learning Pipeline for Retinal Vessel Detection in Fluorescein Angiography. Li Ding, Mohammad H. Bawany, Ajay E. Kuriyan, Rajeev S. Ramchandran, Charles C. Wykoff, and Gaurav Sharma http://arxiv.org/abs/1907.02946
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Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, and Daniel Rueckert http://arxiv.org/abs/1907.02757
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Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model. Giuseppe Castellucci, Valentina Bellomaria, Andrea Favalli, and Raniero Romagnoli http://arxiv.org/abs/1907.02884
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Explaining Predictions from Tree-based Boosting Ensembles. Ana Lucic, Hinda Haned, and Maarten de Rijke http://arxiv.org/abs/1907.02582
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Attentive Context Normalization for Robust Permutation-Equivariant Learning. Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, and Kwang Moo Yi http://arxiv.org/abs/1907.02545
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