Research

Papers for “imagenet”

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

Title	Authors	Year	Source
DeepMIM: Deep Supervision for Masked Image Modeling	Sucheng Ren, Fangyun Wei, Samuel Albanie	2023	arxiv 2303.08817
Representation Learning by Detecting Incorrect Location Embeddings	Sepehr Sameni, Simon Jenni, Paolo Favaro	2022	arxiv 2204.04788
Towards Verifying the Geometric Robustness of Large-scale Neural Networks	Fu Wang, Peipei Xu, Wenjie Ruan	2023	arxiv 2301.12456
Neighborhood Attention Transformer	Ali Hassani, Steven Walton, Jiachen Li	2022	arxiv 2204.07143
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization	Peihua Li, Jiangtao Xie, Qilong Wang	2017	arxiv 1712.01034
Building medical image classifiers with very limited data using segmentation networks	Ken C. L. Wong, Tanveer Syeda-Mahmood, Mehdi Moradi	2018	arxiv 1808.05205
An Empirical Model of Large-Batch Training	Sam McCandlish, Jared Kaplan, Dario Amodei	2018	arxiv 1812.06162
Improved training of binary networks for human pose estimation and image recognition	Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi	2019	arxiv 1904.05868
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval	Qing Liu, Lingxi Xie, Huiyu Wang	2019	arxiv 1904.03208
Positive-Unlabeled Compression on the Cloud	Yixing Xu, Yunhe Wang, Hanting Chen	2019	arxiv 1909.09757
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning	Baoyuan Wu, Weidong Chen, Yanbo Fan	2019	arxiv 1901.01703
Training Binary Neural Networks with Real-to-Binary Convolutions	Brais Martinez, Jing Yang, Adrian Bulat	2020	arxiv 2003.11535
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks	Minghao Guo, Yuzhe Yang, Rui Xu	2019	arxiv 1911.10695
Batch-Shaping for Learning Conditional Channel Gated Networks	Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling	2019	arxiv 1907.06627
Knapsack Pruning with Inner Distillation	Yonathan Aflalo, Asaf Noy, Ming Lin	2020	arxiv 2002.08258
Fast Hardware-Aware Neural Architecture Search	Li Lyna Zhang, Yuqing Yang, Yuhang Jiang	2019	arxiv 1910.11609
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent	Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi	2020	arxiv 2002.10583
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks	Li'an Zhuo, Baochang Zhang, Hanlin Chen	2020	arxiv 2005.00057
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning	Zhongwu Xie, Weipeng Cao, Xizhao Wang	2020	arxiv 2005.08704
Channel Distillation: Channel-Wise Attention for Knowledge Distillation	Zaida Zhou, Chaoran Zhuge, Xinwei Guan	2020	arxiv 2006.01683

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