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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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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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Sat 9:05
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One-shot Empirical Privacy Estimation for Federated Learning
Galen Andrew · Peter Kairouz · Sewoong Oh · Alina Oprea · H. Brendan McMahan · Vinith Suriyakumar
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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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Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao · John Dang · Aditya Grover
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Workshop
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Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Yassir BENDOU · Bastien Pasdeloup · Giulia Lioi · Vincent Gripon · Fabien Cardinaux · Ghouthi BOUKLI HACENE · Lukas Mauch
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Poster
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Thu 15:00
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FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song · Huimin Ma · Bochao Zou · Huishuai Zhang · Weiran Huang
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Workshop
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One-Shot Transfer Learning for Nonlinear ODEs
Wanzhou Lei · Pavlos Protopapas · Joy Parikh
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Workshop
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Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
Niamh Belton · Misgina Tsighe Hagos · Aonghus Lawlor · Kathleen Curran
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Poster
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Wed 8:45
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Zero-One Laws of Graph Neural Networks
Sam Adam-Day · Iliant · Ismail Ceylan
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Workshop
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Generalized One-Shot Transfer Learning of Linear Ordinary and Partial Differential Equations
Pavlos Protopapas · Hari Raval
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