Diverse Feature Learning by Self-distillation and Reset

29 March 2024

Papers citing "Diverse Feature Learning by Self-distillation and Reset"

23 / 23 papers shown

Title
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 115 30 0 30 Oct 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 137 29 0 19 Jun 2023
Deep Reinforcement Learning with Plasticity Injection Evgenii Nikishin Junhyuk Oh Georg Ostrovski Clare Lyle Razvan Pascanu Will Dabney André Barreto OffRL 47 52 0 24 May 2023
Analyzing Bias in Diffusion-based Face Generation Models Malsha V. Perera Vishal M. Patel DiffM 65 40 0 10 May 2023
Deep Active Learning for Computer Vision: Past and Future Rinyoichi Takezoe Xu Liu Shunan Mao Marco Tianyu Chen Zhanpeng Feng Shiliang Zhang Xiaoyu Wang VLM 70 19 0 27 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models P. Schramowski Manuel Brack Bjorn Deiseroth Kristian Kersting 128 308 0 09 Nov 2022
Learning Debiased Classifier with Biased Committee Nayeong Kim Sehyun Hwang SungSoo Ahn Jaesik Park Suha Kwak CML 73 57 0 22 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation Sanghun Jung Jungsoo Lee Nanhee Kim Amirreza Shaban Byron Boots Jaegul Choo OOD TTA 63 18 0 01 Jun 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 86 339 0 06 Apr 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 112 251 0 01 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 110 431 0 25 Mar 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 66 45 0 01 Feb 2022
Projected GANs Converge Faster Axel Sauer Kashyap Chitta Jens Muller Andreas Geiger 97 235 0 01 Nov 2021
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning Zeyuan Allen-Zhu Yuanzhi Li FedML 138 375 0 17 Dec 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 394 0 23 Jan 2020
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation Jaehoon Choi Taekyung Kim Changick Kim 77 244 0 02 Sep 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 76 865 0 17 May 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 207 19,335 0 13 Jan 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 135 3,775 0 15 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 147 6,886 0 04 Jul 2017
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 156 7,501 0 24 Feb 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,698 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014