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38 Results
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Oral
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Mon 3:15 |
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 |
Concept Learners for Few-Shot Learning Kaidi Cao · Maria Brbic · Jure Leskovec |
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Poster
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Wed 17:00 |
Measuring Massive Multitask Language Understanding Dan Hendrycks · Collin Burns · Steven Basart · Andy Zou · Mantas Mazeika · Dawn Song · Jacob Steinhardt |
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Poster
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Thu 1:00 |
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 |
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba · Josif Grabocka |
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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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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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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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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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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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Tue 17:00 |
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao · Yu-Xiong Wang · Martial Hebert |