A separability-based approach to quantifying generalization: which layer is best?

2 May 2024

Papers citing "A separability-based approach to quantifying generalization: which layer is best?"

8 / 8 papers shown

Title
Intermediate Layer Classifiers for OOD generalization Arnas Uselis Seong Joon Oh OOD 51 0 0 07 Apr 2025
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth C. Pehlevan AAML OOD 41 0 0 27 May 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 310 4,077 0 24 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,622 0 24 Feb 2021
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 35 61 0 14 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016