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Poster
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Thu 1:00
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Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
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Poster
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Mon 1:00
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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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Thu 1:00
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Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang · Lu Liu · Min Xu
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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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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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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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Workshop
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Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
Zuxin Liu
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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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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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