Papers citing 'Explaining Knowledge Distillation by Quantifying the Knowledge'

Title
TopKD: Top-scaled Knowledge Distillation Qi Wang Jinjia Zhou 35 0 0 06 Aug 2025
A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognition Dewan Tauhid Rahman Yeahia Sarker Antar Mazumder Md. Shamim Anower ViT 101 0 0 24 Feb 2025
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment Chengting Yu Fengzhao Zhang Ruizhe Chen Zuozhu Liu Shurun Tan Er-ping Li Aili Wang 167 4 0 03 Nov 2024
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets Adrian Iordache B. Alexe Radu Tudor Ionescu 167 2 0 29 Oct 2024
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation Jinbin Huang Wenbin He Liang Gou Liu Ren Chris Bryan 178 0 0 25 Jun 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch Wen-Shu Fan Xin-Chun Li Bowen Tao 130 2 0 21 May 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 220 2 0 22 Apr 2024
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers Diana-Nicoleta Grigore Mariana-Iuliana Georgescu J. A. Justo T. Johansen Andreea-Iuliana Ionescu Radu Tudor Ionescu 137 1 0 14 Apr 2024
Enhancing Metaphor Detection through Soft Labels and Target Word Prediction Kaidi Jia Rongsheng Li 76 0 0 27 Mar 2024
Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics Jiaqi Yue Jiancheng Zhao Chunhui Zhao Biao Huang 110 0 0 21 Mar 2024
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation Binyan Hu •. A. K. Qin SSL 71 0 0 11 Feb 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF Banghua Zhu Michael I. Jordan Jiantao Jiao 120 40 0 29 Jan 2024
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 148 6 0 20 Oct 2023
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains Qingyue Zhao Banghua Zhu 176 4 0 11 Oct 2023
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 186 26 0 27 Aug 2023
Dissecting RGB-D Learning for Improved Multi-modal Fusion Hao Chen Hao Zhou Yunshu Zhang Zheng Lin Yongjian Deng 211 1 0 19 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 144 26 0 08 Aug 2023
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search Hai-Jian Ke Ming Pang Zheng Fang Xue Jiang Xi-Wei Zhao Changping Peng Zhangang Lin Jinghe Hu Jingping Shao 189 0 0 02 Aug 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 92 4 0 13 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 103 1 0 07 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 128 14 0 07 Jul 2023
Leveraging Synthetic Targets for Machine Translation Sarthak Mittal Oleksii Hrinchuk Oleksii Kuchaiev 86 2 0 07 May 2023
Improving Knowledge Distillation via Transferring Learning Ability Long Liu Tong Li Hui Cheng 76 1 0 24 Apr 2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval Yi Xie Huaidong Zhang Xuemiao Xu Jianqing Zhu Shengfeng He VLM 147 16 0 16 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 117 10 0 27 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 106 1 0 23 Feb 2023
Understanding Self-Distillation in the Presence of Label Noise Rudrajit Das Sujay Sanghavi 159 19 0 30 Jan 2023
Teacher-Student Architecture for Knowledge Learning: A Survey Chengming Hu Xuan Li Dan Liu Xi Chen Ju Wang Xue Liu 158 39 0 28 Oct 2022
On effects of Knowledge Distillation on Transfer Learning Sushil Thapa 64 2 0 18 Oct 2022
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li Wenxuan Fan Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao De-Chuan Zhan 168 32 0 10 Oct 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 101 39 0 18 Aug 2022
Explaining Deepfake Detection by Analysing Image Matching S. Dong Jin Wang Jiajun Liang Haoqiang Fan Renhe Ji 96 58 0 20 Jul 2022
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting DiJia Su B. Douillard Rami Al-Rfou C. Park Benjamin Sapp 115 10 0 08 Jun 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 101 0 0 29 May 2022
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation Guanhua Ye Tong Chen Yawen Li Li-zhen Cui Quoc Viet Hung Nguyen Hongzhi Yin 154 9 0 27 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation Huarui He Jie Wang Zhanqiu Zhang Feng Wu 106 46 0 24 May 2022
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization Yangcheng Gao Zhao Zhang Richang Hong Haijun Zhang Jicong Fan Shuicheng Yan MQ 101 10 0 30 Apr 2022
Decoupled Knowledge Distillation Borui Zhao Quan Cui Renjie Song Yiyu Qiu Jiajun Liang 194 628 0 16 Mar 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 287 480 0 20 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 141 154 0 03 Jan 2022
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning Shengjia Zhang Tiancheng Lin Yi Tian Xu 142 5 0 03 Dec 2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation Jeongbeen Yoon Dahyun Kang Minsu Cho TTA 107 44 0 29 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 139 11 0 05 Nov 2021
Instance-Conditional Knowledge Distillation for Object Detection Zijian Kang Peizhen Zhang Xinming Zhang Jian Sun N. Zheng 157 80 0 25 Oct 2021
Visualizing the embedding space to explain the effect of knowledge distillation Hyun Seung Lee C. Wallraven 103 1 0 09 Oct 2021
Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student Better Xuanyang Zhang Xinming Zhang Jian Sun 91 1 0 26 Sep 2021
Efficient Action Recognition Using Confidence Distillation Shervin Manzuri Shalmani Fei Chiang Ronghuo Zheng 174 6 0 05 Sep 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation Yufei Wang Haoliang Li Lap-pui Chau Alex C. Kot FedML 90 47 0 06 Jul 2021
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection Guangyu Ren Yinxiao Yu Hengyan Liu Tania Stathaki 134 7 0 17 Jun 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 110 32 0 20 Apr 2021