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Papers for “imagenet”

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

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TitleAuthorsYearSource
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and AccuracyStanislav Dereka, Ivan Karpukhin, Maksim Zhdanov2023arxiv 2305.11616
How to train your ViT for OOD DetectionMaximilian Mueller, Matthias Hein2024arxiv 2405.17447
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsPolina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson2022arxiv 2204.02937
On gradient regularizers for MMD GANsMichael Arbel, Danica J. Sutherland, Miko\laj Bińkowski2018arxiv 1805.11565
NAAS: Neural Accelerator Architecture SearchYujun Lin, Mengtian Yang, Song Han2021arxiv 2105.13258
From Xception to NEXcepTion: New Design Decisions and Neural Architecture SearchHadar Shavit, Filip Jatelnicki, Pol Mor-Puigventós2022arxiv 2212.08448
Discriminator optimal transportAkinori Tanaka2019arxiv 1910.06832
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization LayersAlexander Binder, Grégoire Montavon, Sebastian Bach2016arxiv 1604.00825
MatConvNet - Convolutional Neural Networks for MATLABAndrea Vedaldi, Karel Lenc2014arxiv 1412.4564
Places205-VGGNet Models for Scene RecognitionLimin Wang, Sheng Guo, Weilin Huang2015arxiv 1508.01667
Fast Incremental Learning for Off-Road Robot NavigationArtem Provodin, Liila Torabi, Beat Flepp2016arxiv 1606.08057
Fast Training of Convolutional Neural Networks via Kernel RescalingPedro Porto Buarque de Gusmão, Gianluca Francini, Skjalg Leps\oy2016arxiv 1610.03623
Visualizing Residual NetworksBrian Chu, Daylen Yang, Ravi Tadinada2017arxiv 1701.02362
Visualizing Deep Neural Network Decisions: Prediction Difference AnalysisLuisa M Zintgraf, Taco S Cohen, Tameem Adel2017arxiv 1702.04595
Low-shot Visual Recognition by Shrinking and Hallucinating FeaturesBharath Hariharan, Ross Girshick2016arxiv 1606.02819
Spatially Adaptive Computation Time for Residual NetworksMichael Figurnov, Maxwell D. Collins, Yukun Zhu2016arxiv 1612.02297
Deep Learning: A Critical AppraisalGary Marcus2018arxiv 1801.00631
Autoregressive Quantile Networks for Generative ModelingGeorg Ostrovski, Will Dabney, Rémi Munos2018arxiv 1806.05575
Uncertainty in Multitask Transfer LearningAlexandre Lacoste, Boris Oreshkin, Wonchang Chung2018arxiv 1806.07528
A second-order-like optimizer with adaptive gradient scaling for deep learningJérôme Bolte, Ryan Boustany, Edouard Pauwels2024arxiv 2410.05871