AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

11 March 2024

Papers citing "AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation"

23 / 23 papers shown

Title
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang Haoxuan Li Leilei Gan Kun Kuang OODD 71 12 0 30 Apr 2024
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation Zihao Tang Zheqi Lv Shengyu Zhang Leilei Gan Kun Kuang 80 8 0 18 Feb 2024
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 65 57 0 30 Mar 2023
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation Jogendra Nath Kundu Suvaansh Bhambri Akshay Ravindra Kulkarni Hiran Sarkar Varun Jampani R. Venkatesh Babu 56 27 0 27 Jul 2022
Intelligent Request Strategy Design in Recommender System Xufeng Qian Yue Xu Fuyu Lv Shengyu Zhang Ziwen Jiang Qingwen Liu Xiaoyi Zeng Tat-Seng Chua Leilei Gan 52 16 0 23 Jun 2022
Source-Free Domain Adaptation via Distribution Estimation Ning Ding Yixing Xu Yehui Tang Chao Xu Yunhe Wang Dacheng Tao TTA 44 115 0 24 Apr 2022
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang Yifan Bao Mingli Song Xinchao Wang Don Xie Chengchao Shen Xiuming Zhang 59 44 0 27 Oct 2021
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 65 188 0 30 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 57 382 0 14 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 255 1,349 0 08 Oct 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 51 120 0 08 May 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 95 1,238 0 20 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 62 563 0 18 Dec 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 129 18,058 0 28 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 46 229 0 23 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 323 6,737 0 06 May 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 63 1,405 0 10 Apr 2019
Dynamic Curriculum Learning for Imbalanced Data Classification Yiru Wang Weihao Gan Jie Yang Wei Wu Junjie Yan 61 218 0 21 Jan 2019
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 159 4,970 0 30 Jul 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 71 167 0 16 Jun 2018
Deep Hashing Network for Unsupervised Domain Adaptation Hemanth Venkateswara José Eusébio Shayok Chakraborty S. Panchanathan OOD 138 2,041 0 22 Jun 2017
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 278 3,870 0 19 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 373 43,524 0 01 May 2014