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10 Results

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Poster
Respecting Transfer Gap in Knowledge Distillation
Yulei Niu · Long Chen · Chang Zhou · Hanwang Zhang
Workshop
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec
Poster
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer
Lujun Li · ZHE JIN
Poster
Thu 14:00 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin · Li Yang · Deliang Fan · Junshan Zhang
Poster
Tue 14:00 Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati
Poster
Thu 14:00 Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi
Poster
Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
Yang Zhao · Chen Zhang · Haifeng Huang · Haoyuan Li · Zhou Zhao
Poster
Thu 9:00 Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man (Man) Cheung
Workshop
Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena Under Data Paucity
Nikhil Muralidhar · NIcholas Lubbers · Mohamed Mehana · Naren Ramakrishnan · Anuj Karpatne
Poster
Thu 14:00 K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen · Chunyuan Li · Xiaowei Hu · Yujia Xie · Jianwei Yang · Pengchuan Zhang · Zhe Gan · Lijuan Wang · Lu Yuan · Ce Liu · Kurt Keutzer · Trevor Darrell · Anna Rohrbach · Jianfeng Gao