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37 Results
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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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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 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 |
Theoretical bounds on estimation error for meta-learning James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel |
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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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Thu 9:00 |
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake Snell · Richard Zemel |
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Spotlight
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Mon 19:45 |
Structured Prediction as Translation between Augmented Natural Languages Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto |
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Poster
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Mon 9:00 |
Structured Prediction as Translation between Augmented Natural Languages Giovanni Paolini · Ben Athiwaratkun · Jason Krone · Jie Ma · Alessandro Achille · RISHITA ANUBHAI · Cicero Nogueira dos Santos · Bing Xiang · Stefano Soatto |
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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 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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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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Tue 9:00 |
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu · Yizhe Zhu · Kunpeng Song · Ahmed Elgammal |