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Workshop
Segment-then-Classify: Few-shot instance segmentation for environmental remote sensing
Yang Hu · Anna Boser · Kelly Caylor
Poster
Wed 8:45 Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky · Tom Griffiths
Workshop
Can Transformer Models Generalize Via In-Context Learning Beyond Pretraining Data?
Steve Yadlowsky · Lyric Doshi · Nilesh Tripuraneni
Poster
Wed 15:00 Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
Zhibin Duan · Zhiyi Lv · Chaojie Wang · Bo Chen · Bo An · Mingyuan Zhou
Poster
Tue 15:15 ExPT: Synthetic Pretraining for Few-Shot Experimental Design
Tung Nguyen · Sudhanshu Agrawal · Aditya Grover
Poster
Tue 8:45 LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai · Qing Yu · Go Irie · Kiyoharu Aizawa
Workshop
Beyond Generation: Exploring Generalization of Diffusion Models in Few-shot Segmentation
Jie Liu · TAO HU · Jan-jakob Sonke · Efstratios Gavves
Poster
Thu 15:00 Focus Your Attention when Few-Shot Classification
Haoqing Wang · Shibo Jie · Zhihong Deng
Workshop
Context-Aware Meta-Learning
Christopher Fifty · Dennis Duan · Ronald Junkins · Ehsan Amid · Jure Leskovec · Christopher Ré · Sebastian Thrun
Poster
Thu 8:45 Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Yi Wu · Ziqiang Li · Chaoyue Wang · Heliang Zheng · Shanshan Zhao · Bin Li · Dacheng Tao
Workshop
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
Christopher Fifty · Joseph M Paggi · Ehsan Amid · Jure Leskovec · Ron Dror
Workshop
Incorporating LLM Priors into Tabular Learners
Max Zhu · Siniša Stanivuk · Andrija Petrovic · Mladen Nikolic · Pietro Lió