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Poster
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Thu 8:45
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Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Yi Wu · Ziqiang Li · Chaoyue Wang · Heliang Zheng · Shanshan Zhao · Bin Li · Dacheng Tao
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Oral
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Wed 8:30
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Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Kevin Ellis
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Poster
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Wed 8:45
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Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Kevin Ellis
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Workshop
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Can Transformer Models Generalize Via In-Context Learning Beyond Pretraining Data?
Steve Yadlowsky · Lyric Doshi · Nilesh Tripuraneni
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Poster
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Wed 8:45
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Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
Minyang Hu · Hong Chang · Zong Guo · Bingpeng MA · Shiguang Shan · Xilin Chen
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Workshop
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Divide and Conquer: Two-Level Problem Remodeling for Large-Scale Few-Shot Learning
Mohamadreza Fereydooni · Hosein Hasani · Ali Razghandi · Mahdieh Soleymani
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Poster
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Wed 15:00
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DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
Kaipeng Zheng · Huishuai Zhang · Weiran Huang
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Poster
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Thu 8:45
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The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Linhao Qu · xiaoyuan luo · Kexue Fu · Manning Wang · Zhijian Song
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Workshop
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AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn
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Poster
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Tue 15:15
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Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qi-Wei Wang · Da-Wei Zhou · Yi-Kai Zhang · De-Chuan Zhan · Han-Jia Ye
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Workshop
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ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen · Sudhanshu Agrawal · Sudhanshu Agrawal · Aditya Grover
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Workshop
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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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