Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Compressing complex convolutional neural network based on an improved deep compression algorithm	Jiasong Wu, Hongshan Ren, Youyong Kong	2019	arxiv 1903.02358
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks	Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno	2018	arxiv 1811.12019
MBS: Macroblock Scaling for CNN Model Reduction	Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang	2018	arxiv 1809.06569
Double Transfer Learning for Breast Cancer Histopathologic Image Classification	Jonathan de Matos, Alceu de S. Britto Jr., Luiz E. S. Oliveira	2019	arxiv 1904.07834
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations	Dan Hendrycks, Thomas G. Dietterich	2018	arxiv 1807.01697
Winograd Convolution for DNNs: Beyond linear polynomials	Barbara Barabasz, David Gregg	2019	arxiv 1905.05233
EPNAS: Efficient Progressive Neural Architecture Search	Yanqi Zhou, Peng Wang, Sercan Arik	2019	arxiv 1907.04648
A Comprehensive Overhaul of Feature Distillation	Byeongho Heo, Jeesoo Kim, Sangdoo Yun	2019	arxiv 1904.01866
Occlusions for Effective Data Augmentation in Image Classification	Ruth Fong, Andrea Vedaldi	2019	arxiv 1910.10651
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings	Christian Reiser, Jörg Schlötterer, Michael Granitzer	2019	arxiv 1912.04022
Detecting and Correcting Adversarial Images Using Image Processing Operations	Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi	2019	arxiv 1912.05391
Deep Learning without Weight Transport	Mohamed Akrout, Collin Wilson, Peter C. Humphreys	2019	arxiv 1904.05391
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors	Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy	2020	arxiv 2002.11052
ViT-P: Rethinking Data-efficient Vision Transformers from Locality	Bin Chen, Ran Wang, Di Ming	2022	arxiv 2203.02358
A Deep Multi-task Learning Approach to Skin Lesion Classification	Haofu Liao, Jiebo Luo	2018	arxiv 1812.03527
Neural networks with late-phase weights	Johannes von Oswald, Seijin Kobayashi, Alexander Meulemans	2020	arxiv 2007.12927
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors	Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei	2022	arxiv 2203.01825
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder	Jie Shi, Chenfei Wu, Jian Liang	2022	arxiv 2206.00386
Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization	Yefei He, Luoming Zhang, Weijia Wu	2022	arxiv 2204.04215
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks	Xiao Yang, Yinpeng Dong, Tianyu Pang	2021	arxiv 2107.01809

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