9 citations · 26 across the 12 of their papers we have counts for
4 papers · 1 filter
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen, Xiantong Zhen, Qi +2
This paper focuses on the data-insufficiency problem in multi-task learning within an episodic training setup. Specifically, we explore the potential of heterogeneous information a…
Self-Supervised Open-Ended Classification with Small Visual Language Models
Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek +2
We present Self-Context Adaptation (SeCAt), a self-supervised approach that unlocks few-shot abilities for open-ended classification with small visual language models. Our approach…
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement
Merel de Leeuw den Bouter, Javier Lloret Pardo, Zeno Geradts +1
In high-stakes settings, Machine Learning models that can provide predictions that are interpretable for humans are crucial. This is even more true with the advent of complex deep…
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
Tom van Sonsbeek, Marcel Worring
An important component of human analysis of medical images and their context is the ability to relate newly seen things to related instances in our memory. In this paper we mimic t…