Research
Papers for “imagenet”
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
Search results
| Title | Authors | Year | Source |
|---|---|---|---|
| A simple way to make neural networks robust against diverse image corruptions | Evgenia Rusak, Lukas Schott, Roland S. Zimmermann | 2020 | arxiv 2001.06057 |
| Dynamic ReLU | Yinpeng Chen, Xiyang Dai, Mengchen Liu | 2020 | arxiv 2003.10027 |
| Deep Isometric Learning for Visual Recognition | Haozhi Qi, Chong You, Xiaolong Wang | 2020 | arxiv 2006.16992 |
| Subtensor Quantization for Mobilenets | Thu Dinh, Andrey Melnikov, Vasilios Daskalopoulos | 2020 | arxiv 2011.08009 |
| A Singular Value Perspective on Model Robustness | Malhar Jere, Maghav Kumar, Farinaz Koushanfar | 2020 | arxiv 2012.03516 |
| Model Compression Using Optimal Transport | Suhas Lohit, Michael Jones | 2020 | arxiv 2012.03907 |
| Transfer Learning Between Different Architectures Via Weights Injection | Maciej A. Czyzewski | 2021 | arxiv 2101.02757 |
| Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning | Zeming Li, Songtao Liu, Jian Sun | 2021 | arxiv 2101.07525 |
| Perturbative GAN: GAN with Perturbation Layers | Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'uchi | 2019 | arxiv 1902.01514 |
| Local Relation Networks for Image Recognition | Han Hu, Zheng Zhang, Zhenda Xie | 2019 | arxiv 1904.11491 |
| VGG Fine-tuning for Cooking State Recognition | Juan Wilches | 2019 | arxiv 1905.08606 |
| Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior | Thomas Gittings, Steve Schneider, John Collomosse | 2019 | arxiv 1907.01996 |
| MintNet: Building Invertible Neural Networks with Masked Convolutions | Yang Song, Chenlin Meng, Stefano Ermon | 2019 | arxiv 1907.07945 |
| A Method for Computing Class-wise Universal Adversarial Perturbations | Tejus Gupta, Abhishek Sinha, Nupur Kumari | 2019 | arxiv 1912.00466 |
| Online Normalization for Training Neural Networks | Vitaliy Chiley, Ilya Sharapov, Atli Kosson | 2019 | arxiv 1905.05894 |
| Distributed Low Precision Training Without Mixed Precision | Zehua Cheng, Weiyang Wang, Yan Pan | 2019 | arxiv 1911.07384 |
| The Tree Loss: Improving Generalization with Many Classes | Yujie Wang, Mike Izbicki | 2022 | arxiv 2204.07727 |
| Decoder Denoising Pretraining for Semantic Segmentation | Emmanuel Brempong Asiedu, Simon Kornblith, Ting Chen | 2022 | arxiv 2205.11423 |
| Federated Momentum Contrastive Clustering | Runxuan Miao, Erdem Koyuncu | 2022 | arxiv 2206.05093 |
| Transfer and Marginalize: Explaining Away Label Noise with Privileged Information | Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou | 2022 | arxiv 2202.09244 |