Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Accelerating Vision Transformer Training via a Patch Sampling Schedule	Bradley McDanel, Chi Phuong Huynh	2022	arxiv 2208.09520
UPANets: Learning from the Universal Pixel Attention Networks	Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng	2021	arxiv 2103.08640
PAC Prediction Sets for Meta-Learning	Sangdon Park, Edgar Dobriban, Insup Lee	2022	arxiv 2207.02440
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers	Andreas Steiner, Alexander Kolesnikov, Xiaohua Zhai	2021	arxiv 2106.10270
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance	Xiaoliang Liu, Furao Shen, Jian Zhao	2022	arxiv 2207.10290
Turath-150K: Image Database of Arab Heritage	Dani Kiyasseh, Rasheed El-Bouri	2022	arxiv 2201.00220
MaskGIT: Masked Generative Image Transformer	Huiwen Chang, Han Zhang, Lu Jiang	2022	arxiv 2202.04200
Membership Inference Attack Using Self Influence Functions	Gilad Cohen, Raja Giryes	2022	arxiv 2205.13680
Differentiable Top-k Classification Learning	Felix Petersen, Hilde Kuehne, Christian Borgelt	2022	arxiv 2206.07290
ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer	Rui Yang, Hailong Ma, Jie Wu	2022	arxiv 2203.10790
Geography-Aware Self-Supervised Learning	Kumar Ayush, Burak Uzkent, Chenlin Meng	2020	arxiv 2011.09980
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack	Dahoon Park, Kon-Woo Kwon, Sunghoon Im	2021	arxiv 2111.01080
Staleness-aware Async-SGD for Distributed Deep Learning	Wei Zhang, Suyog Gupta, Xiangru Lian	2015	arxiv 1511.05950
Synthesized Classifiers for Zero-Shot Learning	Soravit Changpinyo, Wei-Lun Chao, Boqing Gong	2016	arxiv 1603.00550
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning	Xiangxi Mo, Ruizhe Cheng, Tianyi Fang	2019	arxiv 1906.04950
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks	Hang Gao, Zheng Shou, Alireza Zareian	2018	arxiv 1810.11730
DARC: Differentiable ARchitecture Compression	Shashank Singh, Ashish Khetan, Zohar Karnin	2019	arxiv 1905.08170
Faster Neural Network Training with Data Echoing	Dami Choi, Alexandre Passos, Christopher J. Shallue	2019	arxiv 1907.05550
Feature Products Yield Efficient Networks	Philipp Grüning, Thomas Martinetz, Erhardt Barth	2020	arxiv 2008.07930
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization	Senwei Liang, Yuehaw Khoo, Haizhao Yang	2018	arxiv 1811.05850

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