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91 Results
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Poster
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Mon 2:30 |
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley · Amos Storkey · Antreas Antoniou · Sam Devlin |
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Poster
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Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer Ronghang Zhu · Ronghang Zhu · Xiang Yu · Sheng Li |
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Workshop
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Thu 5:32 |
Effective Data Augmentation With Diffusion Models Brandon Trabucco · Kyle Doherty · Max Gurinas · Ruslan Salakhutdinov |
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Workshop
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Thu 4:00 |
Effective Data Augmentation With Diffusion Models Brandon Trabucco · Kyle Doherty · Max Gurinas · Ruslan Salakhutdinov |
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Poster
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Tue 7:30 |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska · Xiantong Zhen · Marcel Worring |
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Poster
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Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings Heng Wang · Tan Yue · Xiang Ye · Zihang He · Bohan Li · Yong Li |
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Poster
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Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation zhengdong Hu · Yifan Sun · Yi Yang |
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Poster
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Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han · Yaru Hao · Li Dong · Yutao Sun · Furu Wei |
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Poster
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Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning Yibo Yang · Haobo Yuan · Xiangtai Li · Zhouchen Lin · Philip Torr · Dacheng Tao |
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Poster
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Tue 7:30 |
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya · John Bronskill · Massimiliano Patacchiola · Sebastian Nowozin · Richard E Turner |
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Poster
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Analogy-Forming Transformers for Few-Shot 3D Parsing Nikolaos Gkanatsios · Mayank Singh · Zhaoyuan Fang · Shubham Tulsiani · Katerina Fragkiadaki |
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Poster
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Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen · Austin Tripp · José Miguel Hernández Lobato |