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91 Results
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Poster
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Tue 2:30 |
Few-shot Backdoor Attacks via Neural Tangent Kernels Jonathan Hayase · Sewoong Oh |
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Poster
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Tue 7:30 |
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks Samyadeep Basu · Megan Stanley · John Bronskill · Soheil Feizi · Daniela Massiceti |
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Poster
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Task Ambiguity in Humans and Language Models Alex Tamkin · Kunal Handa · Avash Shrestha · Noah Goodman |
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Workshop
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Thu 5:16 |
Exploring Demonstration Ensembling for In-context Learning Muhammad Khalifa · Lajanugen Logeswaran · Moontae Lee · Honglak Lee · Lu Wang |
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Workshop
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Thu 4:00 |
Exploring Demonstration Ensembling for In-context Learning Muhammad Khalifa · Lajanugen Logeswaran · Moontae Lee · Honglak Lee · Lu Wang |
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Poster
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Wed 2:30 |
Bidirectional Language Models Are Also Few-shot Learners Ajay Patel · Bryan Li · Mohammad Rasooli · Noah Constant · Colin Raffel · Chris Callison-Burch |
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Poster
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Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion Han Wu · Jie Yin · Balakanapathy Rajaratnam · Jianyuan Guo |
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Oral
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Tue 1:10 |
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang · Hankook Lee · Jinwoo Shin |
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Poster
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Tue 2:30 |
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang · Hankook Lee · Jinwoo Shin |
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Poster
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Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang · Aston Zhang · Mu Li · Alex Smola |
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Poster
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Tue 2:30 |
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification Hao ZHENG · Runqi Wang · Jianzhuang Liu · Asako Kanezaki |
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Workshop
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Thu 4:00 |
Improving Foundation Models for Few-Shot Learning via Multitask Finetuning Zhuoyan Xu · Zhenmei Shi · Junyi Wei · Yin Li · Yingyu Liang |