Learning from Teaching Regularization: Generalizable Correlations Should
be Easy to Imitate

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

5 February 2024

Hongwu Peng

Dimitris N. Metaxas

Papers citing "Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate"

9 / 9 papers shown

Title
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Can Jin Hongwu Peng Anxiang Zhang Nuo Chen Jiahui Zhao ... K. Li Shuya Feng Kai Zhong Caiwen Ding Dimitris N. Metaxas 99 2 0 02 Feb 2025
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction Shizhe Yuan Li Zhou 3DH 24 5 0 11 Nov 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking Can Jin Hongwu Peng Shiyu Zhao Zhenting Wang Wujiang Xu Ligong Han Jiahui Zhao Kai Zhong Sanguthevar Rajasekaran Dimitris N. Metaxas KELM 37 31 0 20 Jun 2024
Regional Style and Color Transfer Zhicheng Ding Panfeng Li Qikai Yang Siyang Li Qingtian Gong DiffM 14 39 0 22 Apr 2024
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang Kuangqi Zhou Qixin Zhang Jie Shao Bryan Hooi Jiashi Feng 36 19 0 12 Jul 2021
Iterated learning for emergent systematicity in VQA Ankit Vani Max Schwarzer Yucheng Lu Eeshan Gunesh Dhekane Aaron C. Courville 41 19 0 03 May 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 111 99 0 12 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 128 679 0 31 Jan 2021
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 237 7,597 0 03 Jul 2012