SOTA2 Research · papers

Papers for “imagenet”

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

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20 indexed

Title	Authors	Year	Source
Positional Label for Self-Supervised Vision Transformer	Zhemin Zhang, Xun Gong	2022	arxiv 2206.04981
EqCo: Equivalent Rules for Self-supervised Contrastive Learning	Benjin Zhu, Junqiang Huang, Zeming Li	2020	arxiv 2010.01929
SRIL: Selective Regularization for Class-Incremental Learning	Jisu Han, Jaemin Na, Wonjun Hwang	2023	arxiv 2305.05175
Universal Adaptive Data Augmentation	Xiaogang Xu, Hengshuang Zhao	2022	arxiv 2207.06658
TAN Without a Burn: Scaling Laws of DP-SGD	Tom Sander, Pierre Stock, Alexandre Sablayrolles	2022	arxiv 2210.03403
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning	Yin Cui, Yang Song, Chen Sun	2018	arxiv 1806.06193
Training Compact Neural Networks with Binary Weights and Low Precision Activations	Bohan Zhuang, Chunhua Shen, Ian Reid	2018	arxiv 1808.02631
RepMet: Representative-based metric learning for classification and one-shot object detection	Leonid Karlinsky, Joseph Shtok, Sivan Harary	2018	arxiv 1806.04728
Self-Referenced Deep Learning	Xu Lan, Xiatian Zhu, Shaogang Gong	2018	arxiv 1811.07598
TADAM: Task dependent adaptive metric for improved few-shot learning	Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste	2018	arxiv 1805.10123
Importance Estimation for Neural Network Pruning