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Oral
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Mon 3:15
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Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
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Poster
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Mon 17:00
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Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
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Oral
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Thu 13:15
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Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo · Bharath Hariharan
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Poster
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Tue 17:00
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Concept Learners for Few-Shot Learning
Kaidi Cao · Maria Brbic · Jure Leskovec
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Poster
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Thu 17:00
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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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Wed 17:00
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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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Wed 9:00
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Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
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Mon 1:00
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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 1:00
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Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen · Chi-Guhn Lee
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Workshop
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Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
Daniel Reusche · Nicolás Della Penna
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Poster
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Tue 17:00
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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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Wed 9:00
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Theoretical bounds on estimation error for meta-learning
James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel
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