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29 Results
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Poster
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Tue 1:00 |
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu · William Hamilton · Guodong Long · Jing Jiang · Hugo Larochelle |
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Poster
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Mon 1:00 |
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek |
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Poster
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Thu 17:00 |
Few-Shot Learning via Learning the Representation, Provably Simon Du · Wei Hu · Sham M Kakade · Jason Lee · Qi Lei |
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Poster
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Tue 1:00 |
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh · Hyungjun Yoo · ChangHwan Kim · Se-Young Yun |
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Poster
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Mon 1:00 |
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning Nanyi Fei · Zhiwu Lu · Tao Xiang · Songfang Huang |
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Poster
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Wed 17:00 |
Wandering within a world: Online contextualized few-shot learning Mengye Ren · Michael L Iuzzolino · Michael Mozer · Richard Zemel |
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Poster
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Thu 9:00 |
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake Snell · Richard Zemel |
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Poster
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Wed 9:00 |
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman · Brenden Lake |
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Poster
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Tue 17:00 |
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao · Yu-Xiong Wang · Martial Hebert |
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Poster
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Tue 9:00 |
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel · Jingfei Du · Alexis Conneau · Veselin Stoyanov |
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Poster
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Mon 9:00 |
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning Mihir Prabhudesai · Shamit Lal · Darshan Patil · Hsiao-Yu Tung · Adam Harley · Katerina Fragkiadaki |
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Poster
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Wed 9:00 |
Theoretical bounds on estimation error for meta-learning James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel |