Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network	Xuanqing Liu, Yao Li, Chongruo Wu	2018	arxiv 1810.01279
Generative Model with Dynamic Linear Flow	Huadong Liao, Jiawei He, Kunxian Shu	2019	arxiv 1905.03239
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video	Zhenfang Chen, Lin Ma, Wenhan Luo	2019	arxiv 1906.02549
Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining	Yasutoshi Ida, Yasuhiro Fujiwara	2019	arxiv 1906.03826
Learning what and where to attend	Drew Linsley, Dan Shiebler, Sven Eberhardt	2018	arxiv 1805.08819
Dissecting Pruned Neural Networks	Jonathan Frankle, David Bau	2019	arxiv 1907.00262
Training Deep Neural Networks Using Posit Number System	Jinming Lu, Siyuan Lu, Zhisheng Wang	2019	arxiv 1909.03831
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks	Jiefeng Chen, Xi Wu, Vaibhav Rastogi	2018	arxiv 1805.07816
Learning to Auto Weight: Entirely Data-driven and Highly Efficient Weighting Framework	Zhenmao Li, Yichao Wu, Ken Chen	2019	arxiv 1905.11058
CSPNet: A New Backbone that can Enhance Learning Capability of CNN	Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh	2019	arxiv 1911.11929
Multi-Scale Weight Sharing Network for Image Recognition	Shubhra Aich, Ian Stavness, Yasuhiro Taniguchi	2020	arxiv 2001.02816
An Efficient Pre-processing Method to Eliminate Adversarial Effects	Hua Wang, Jie Wang, Zhaoxia Yin	2019	arxiv 1905.08614
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks	Yuhang Li, Xin Dong, Wei Wang	2019	arxiv 1909.13144
Large Batch Training Does Not Need Warmup	Zhouyuan Huo, Bin Gu, Heng Huang	2020	arxiv 2002.01576
Widening and Squeezing: Towards Accurate and Efficient QNNs	Chuanjian Liu, Kai Han, Yunhe Wang	2020	arxiv 2002.00555
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness	Huijie Feng, Chunpeng Wu, Guoyang Chen	2020	arxiv 2002.07246
Asynchronous Stochastic Gradient Descent with Delay Compensation	Shuxin Zheng, Qi Meng, Taifeng Wang	2016	arxiv 1609.08326
MaxUp: A Simple Way to Improve Generalization of Neural Network Training	Chengyue Gong, Tongzheng Ren, Mao Ye	2020	arxiv 2002.09024
Residual Knowledge Distillation	Mengya Gao, Yujun Shen, Quanquan Li	2020	arxiv 2002.09168
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision	Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi	2020	arxiv 2003.00393

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