FEED: Feature-level Ensemble for Knowledge Distillation

24 September 2019

Papers citing "FEED: Feature-level Ensemble for Knowledge Distillation"

10 / 10 papers shown

Title
Self-discipline on multiple channels Jiutian Zhao Liangchen Luo Hao Wang 32 0 0 27 Apr 2023
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 23 27 0 16 Oct 2022
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation Xingchen Li Long Chen Wenbo Ma Yi Yang Jun Xiao 21 26 0 03 Aug 2022
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation Lin Wang Yujeong Chae Sung-Hoon Yoon Tae-Kyun Kim Kuk-Jin Yoon 42 64 0 24 Nov 2021
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks Rishabh Bhardwaj Tushar Vaidya Soujanya Poria OT FedML 65 7 0 06 Oct 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation Lin Wang Yujeong Chae Kuk-Jin Yoon 27 32 0 04 Sep 2021
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde Juana Valeria Hurtado Abhinav Valada 26 72 0 01 Mar 2021
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 209 473 0 12 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 270 1,275 0 06 Mar 2017