Functional Regularization for Representation Learning: A Unified
Theoretical Perspective

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Functional Regularization for Representation Learning: A Unified Theoretical Perspective

6 August 2020

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Papers citing "Functional Regularization for Representation Learning: A Unified Theoretical Perspective"

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Title
A Quantitative Approach to Predicting Representational Learning and Performance in Neural Networks Ryan Pyle Sebastian Musslick Jonathan D. Cohen Ankit B. Patel 38 0 0 14 Jul 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 98 6 0 25 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 71 4 0 08 Mar 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi Jiefeng Chen Kunyang Li Jayaram Raghuram Xi Wu Yingyu Liang S. Jha SSL 71 20 0 28 Feb 2023
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning Thanh-Dung Le R. Noumeir J. Rambaud Guillaume Sans P. Jouvet 68 9 0 26 Sep 2022
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching Shengchao Liu Hongyu Guo Jian Tang 113 80 0 27 Jun 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 134 5 0 18 Apr 2022
A Framework of Meta Functional Learning for Regularising Knowledge Transfer Pan Li Yanwei Fu S. Gong 32 0 0 28 Mar 2022
Provable and Efficient Continual Representation Learning Yingcong Li Mingchen Li M. Salman Asif Samet Oymak CLL 59 13 0 03 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 84 17 0 24 Feb 2022
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 197 321 0 07 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 77 22 0 06 Oct 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 132 46 0 13 Feb 2021