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81 Results
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Poster
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Thu 16:30 |
True Few-Shot Learning with Language Models Ethan Perez · Douwe Kiela · Kyunghyun Cho |
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Poster
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Thu 8:30 |
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg · Arman Cohan · Kyle Lo · Iz Beltagy |
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Poster
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Tue 8:30 |
Towards Enabling Meta-Learning from Target Models Su Lu · Han-Jia Ye · Le Gan · De-Chuan Zhan |
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Poster
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Thu 0:30 |
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo · Longhui Wei · Liangjian Wen · Jinrong Yang · Lingxi Xie · Zenglin Xu · Qi Tian |
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Poster
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Thu 0:30 |
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut |
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Datasets and Benchmarks
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A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches Vincent Dumoulin · Neil Houlsby · Utku Evci · Xiaohua Zhai · Ross Goroshin · Sylvain Gelly · Hugo Larochelle |
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Workshop
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On the Role of Pre-training for Meta Few-Shot Learning Chia-You Chen · Hsuan-Tien Lin · Masashi Sugiyama · Gang Niu |
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Poster
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Fri 8:30 |
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua · Qi Lei · Jason Lee |
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Poster
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Thu 16:30 |
Uniform Sampling over Episode Difficulty Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto |
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Poster
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Tue 16:30 |
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang · Massimiliano Pontil · Carlo Ciliberto |
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Poster
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Tue 8:30 |
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Angtian Wang · Shenxiao Mei · Alan Yuille · Adam Kortylewski |
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Workshop
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KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts Eliot Xing · Abhinav Gupta · Samantha Powers · Victoria Dean |