InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge
Distillation

InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation

25 June 2024

Liang Gou

Papers citing "InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation"

8 / 8 papers shown

Title
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Micah Goldblum Hossein Souri Renkun Ni Manli Shu Viraj Prabhu ... Adrien Bardes Judy Hoffman Ramalingam Chellappa Andrew Gordon Wilson Tom Goldstein VLM 68 62 0 30 Oct 2023
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation Chuanguang Yang Xinqiang Yu Zhulin An Yongjun Xu VLM OffRL 76 21 0 19 Jun 2023
CLIP-S $^4$ : Language-Guided Self-Supervised Semantic Segmentation Wenbin He Suphanut Jamonnak Liangke Gou Liu Ren VLM 33 31 0 01 May 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study Youcai Zhang Yuzhuo Qin Heng-Ye Liu Yanhao Zhang Yaqian Li X. Gu VLM 41 2 0 15 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 113 99 0 12 Feb 2021
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 187 472 0 12 Jun 2018
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 267 402 0 09 Apr 2018