Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosisby Shoma Kudo,…
Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlightby Xi Ding, Lei WangFirst submitted…
Neural Conformal Control for Time Series Forecastingby Ruipu Li, Alexander RodrÃguezFirst submitted to arxiv on:…
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learningby Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil…
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learningby Rui Liang, Yang…
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learningby Bharadwaj Ravichandran, Alexander Lynch, Sarah…
Aspect-Based Few-Shot Learningby Tim van Engeland, Lu Yin, Vlado MenkovskiFirst submitted to arxiv on: 17…
The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settingsby David Calhas,…
Task-Specific Preconditioner for Cross-Domain Few-Shot Learningby Suhyun Kang, Jungwon Park, Wonseok Lee, Wonjong RheeFirst submitted…
Enhancing Masked Time-Series Modeling via Dropping Patchesby Tianyu Qiu, Yi Xie, Yun Xiong, Hao Niu,…