Learning More Universal Representations for Transfer-Learning

27 December 2017

Papers citing "Learning More Universal Representations for Transfer-Learning"

6 / 6 papers shown

Title
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation Nathaniel R. Dean Dilip Sarkar 35 0 0 17 Jul 2024
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution Jielei Chu Jing Liu Hongjun Wang Hua Meng Zhiguo Gong Tianrui Li OOD 13 19 0 13 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition Yichun Shi Xiang Yu Kihyuk Sohn Manmohan Chandraker Anil K. Jain CVBM OOD 17 148 0 26 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 17 78 0 16 Jan 2020
Learning Finer-class Networks for Universal Representations Julien Girard-Satabin Y. Tamaazousti Hervé Le Borgne C´eline Hudelot SSL OOD 34 4 0 04 Oct 2018
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018