Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement

26 November 2023

Papers citing "Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement"

8 / 8 papers shown

Title
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 40 0 0 26 Mar 2025
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang Jie Song Mengqi Xue H. Zhang Bingde Hu Huiqiong Wang Hao Jiang Xingen Wang Mingli Song VLM 24 0 0 14 Oct 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 24 5 0 21 Mar 2024
Extending global-local view alignment for self-supervised learning with remote sensing imagery Xinye Wanyan Sachith Seneviratne Shuchang Shen M. Kirley 65 18 0 12 Mar 2023
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations Vadim Tschernezki Iro Laina Diane Larlus Andrea Vedaldi 170 184 0 07 Sep 2022
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 92 21 0 10 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 292 5,761 0 29 Apr 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 134 654 0 28 Dec 2020