Industry
SwiFT: Swin 4D fMRI Transformer Peter Y ongho Kim
Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience.
Riemannian Projection-free Online Learning
In Euclidean space, OCO boasts a robust theoretical foundation and numerous real-world applications, such as online load balancing (Molinaro, 2017), optimal control (Li et al., 2019), revenue maximization (Lin et al., 2019), and portfolio management (Jรฉzรฉquel et al., 2022).
Appendix A
Q: For what purpose was the dataset created? Q: Who created the dataset (e.g., which team, research group) and on behalf of which entity (e.g., Q: Who funded the creation of the dataset? Q: What do the instances that comprise the dataset represent (e.g., documents, photos, people, Q: How many instances are there in total (of each type, if appropriate)? As shown in Table 1, the dataset statistics are as follows: Grounding Task: 111,770 samples for training, 21,616 samples for testing. For grounding, we use only one annotation per image.
CoIN: A Benchmark of Continual Instruction Tuning for Multimodal Large Language Models
Large Language Models (MLLMs) to follow task instructions and improve generalization ability.
Shadowcast: Stealthy Data Poisoning Attacks against Vision-Language Models
The first is a traditional Label Attack, tricking VLMs into misidentifying class labels, such as confusing Donald Trump for Joe Biden.