Research

Papers for “imagenet”

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

Title	Authors	Year	Source
CSCO: Connectivity Search of Convolutional Operators	Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng	2024	arxiv 2404.17152
Education distillation:getting student models to learn in shcools	Ling Feng, Tianhao Wu, Xiangrong Ren	2023	arxiv 2311.13811
Training general representations for remote sensing using in-domain knowledge	Maxim Neumann, André Susano Pinto, Xiaohua Zhai	2020	arxiv 2010.00332
Neural gradients are near-lognormal: improved quantized and sparse training	Brian Chmiel, Liad Ben-Uri, Moran Shkolnik	2020	arxiv 2006.08173
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters	Shaohuai Shi, Xianhao Zhou, Shutao Song	2020	arxiv 2010.10458
FleXOR: Trainable Fractional Quantization	Dongsoo Lee, Se Jung Kwon, Byeongwook Kim	2020	arxiv 2009.04126
Object-aware Feature Aggregation for Video Object Detection	Qichuan Geng, Hong Zhang, Na Jiang	2020	arxiv 2010.12573
Dynamically Throttleable Neural Networks (TNN)	Hengyue Liu, Samyak Parajuli, Jesse Hostetler	2020	arxiv 2011.02836
What Do Neural Networks Learn When Trained With Random Labels?	Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin	2020	arxiv 2006.10455
An Effective Anti-Aliasing Approach for Residual Networks	Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin	2020	arxiv 2011.10675
Visual Transformers: Token-based Image Representation and Processing for Computer Vision	Bichen Wu, Chenfeng Xu, Xiaoliang Dai	2020	arxiv 2006.03677
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems	Ruan van der Merwe	2020	arxiv 2012.03775
Anytime Inference with Distilled Hierarchical Neural Ensembles	Adria Ruiz, Jakob Verbeek	2020	arxiv 2003.01474
MetaAugment: Sample-Aware Data Augmentation Policy Learning	Fengwei Zhou, Jiawei Li, Chuanlong Xie	2020	arxiv 2012.12076
AttentionLite: Towards Efficient Self-Attention Models for Vision	Souvik Kundu, Sairam Sundaresan	2020	arxiv 2101.05216
Supervised Transfer Learning at Scale for Medical Imaging	Basil Mustafa, Aaron Loh, Jan Freyberg	2021	arxiv 2101.05913
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack	Qiuling Xu, Guanhong Tao, Xiangyu Zhang	2020	arxiv 2006.07258
A linearized framework and a new benchmark for model selection for fine-tuning	Aditya Deshpande, Alessandro Achille, Avinash Ravichandran	2021	arxiv 2102.00084
Colorization Transformer	Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner	2021	arxiv 2102.04432
Detection of Iterative Adversarial Attacks via Counter Attack	Matthias Rottmann, Kira Maag, Mathis Peyron	2020	arxiv 2009.11397

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