Oceania
ViLCo-Bench: VIdeo Language COntinual learning Benchmark Tianqi Tang
For what purpose was the dataset created? To address this, we propose ViLCo-Bench. Who created the dataset(e.g., which team, research group) and on behalf of which Who funded the creation of the dataset? What do the instances that comprise the dataset represent (e.g., documents, photos, What data does each instance consist of? Is there a label or target associated with each instance?
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
This method allows API users to easily generate, discover, and mix and match image concepts without prior knowledge of how to prompt the model.
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
We present a novel approach for explaining Gaussian processes (GPs) that can utilize the full analytical covariance structure present in GPs.
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specific to Australia, still lacks a dedicated large-scale word-level dataset for the ISLR task.
Trust Y our: Gradient-based Intervention Targeting for Causal Discovery
Often, observational data alone is not enough to uniquely identify a system's causal structure.
