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Workshop
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Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing
Rajaswa Patil · Manasi Patwardhan · Shirish Karande · Lovekesh Vig · Gautam Shroff
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Poster
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Thu 14:00
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Rethinking Generalization in Few-Shot Classification
Markus Hiller · Rongkai Ma · Mehrtash Harandi · Tom Drummond
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Poster
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Wed 14:00
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Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo · Long Tian · He Zhao · Mingyuan Zhou · Hongyuan Zha
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Poster
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Thu 14:00
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Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao · Xiaojuan Qi
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Workshop
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Sat 7:30
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Spotlight 1 - Elre Talea Oldewage: Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
Elre Oldewage
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Poster
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[Re] Does Self-Supervision Always Improve Few-Shot Learning?
Arjun Ashok · Haswanth Aekula
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Workshop
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Few-Shot Learnable Augmentation for Financial Time Series Prediction under Distribution Shifts
Dat Huynh · Elizabeth Fons · Svitlana Vyetrenko
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Workshop
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The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning
Hanlin Zhang · yifan zhang · Li Erran Li · Eric Xing
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Workshop
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Detecting COVID-19 infection from ultrasound imaging with only five shots: A high-performing explainable deep few-shot learning network
Jessy Song · Ashkan Ebadi · Adrian Florea · PENGCHENG XI · Alexander Wong
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Poster
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Thu 14:00
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Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
Long-Kai Huang · Ying Wei
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Workshop
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Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
Sangwoo Park · Kfir M. Cohen · Osvaldo Simeone
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Poster
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Tue 14:00
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On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Markus Hiller · Mehrtash Harandi · Tom Drummond
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