Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Mixed Link Networks	Wenhai Wang, Xiang Li, Jian Yang	2018	arxiv 1802.01808
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data	Alexis Conneau, Douwe Kiela, Holger Schwenk	2017	arxiv 1705.02364
DNN Feature Map Compression using Learned Representation over GF(2)	Denis A. Gudovskiy, Alec Hodgkinson, Luca Rigazio	2018	arxiv 1808.05285
Relaxed Quantization for Discretized Neural Networks	Christos Louizos, Matthias Reisser, Tijmen Blankevoort	2018	arxiv 1810.01875
CNN inference acceleration using dictionary of centroids	D.Babin, I.Mazurenko, D.Parkhomenko	2018	arxiv 1810.08612
On Periodic Functions as Regularizers for Quantization of Neural Networks	Maxim Naumov, Utku Diril, Jongsoo Park	2018	arxiv 1811.09862
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition	Aravind Ravi	2018	arxiv 1812.06387
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles	Kashyap Chitta, Jose M. Alvarez, Adam Lesnikowski	2018	arxiv 1811.03575
Transfer of Adversarial Robustness Between Perturbation Types	Daniel Kang, Yi Sun, Tom Brown	2019	arxiv 1905.01034
High Frequency Residual Learning for Multi-Scale Image Classification	Bowen Cheng, Rong Xiao, Jianfeng Wang	2019	arxiv 1905.02649
Extracting Visual Knowledge from the Internet: Making Sense of Image Data	Yazhou Yao, Jian Zhang, Xiansheng Hua	2019	arxiv 1906.03219
Gradient Weighted Superpixels for Interpretability in CNNs	Thomas Hartley, Kirill Sidorov, Christopher Willis	2019	arxiv 1908.08997
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference	Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier	2019	arxiv 1908.11229
Bit Efficient Quantization for Deep Neural Networks	Prateeth Nayak, David Zhang, Sek Chai	2019	arxiv 1910.04877
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization	Koen Helwegen, James Widdicombe, Lukas Geiger	2019	arxiv 1906.02107
Large Scale Adversarial Representation Learning	Jeff Donahue, Karen Simonyan	2019	arxiv 1907.02544
Scalable Model Compression by Entropy Penalized Reparameterization	Deniz Oktay, Johannes Ballé, Saurabh Singh	2019	arxiv 1906.06624
Channel Pruning Guided by Classification Loss and Feature Importance	Jinyang Guo, Wanli Ouyang, Dong Xu	2020	arxiv 2003.06757
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks	Chunjie Luo, Jianfeng Zhan, Lei Wang	2020	arxiv 2005.06828
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features	Pu Li, Xiangyang Li, Xiang Long	2020	arxiv 2006.07877

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