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Found 5 papers, 5 papers with code
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
Vision-language models (VLMs) trained on internet-scale data achieve remarkable zero-shot detection performance on common objects like car, truck, and pedestrian.
Framing the Game: How Context Shapes LLM Decision-Making
Large Language Models (LLMs) are increasingly deployed across diverse contexts to support decision-making.
Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain
In such cases, determining whether or not the aggregate AI system or model complies with the EU AI Act (AIA) requires a multi-step process in which compliance-related information about both the AI system or model and all its component parts is: (1) gathered, potentially from multiple arms-length sources; (2) harmonized, if necessary; (3) inputted into an analysis that looks across all of it to render a compliance prediction.
Interpretable Visualizations with Differentiating Embedding Networks
The Siamese neural network finds differentiating or similar features between specific pairs of samples in a dataset, and uses these features to embed the dataset in a lower dimensional space where it can be visualized.
Ranked #3 on
Image Clustering
on USPS
Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE
Building on recent advances in speeding up t-SNE and obtaining finer-grained structure, we combine the two to create tree-SNE, a hierarchical clustering and visualization algorithm based on stacked one-dimensional t-SNE embeddings.
Ranked #2 on
Image Clustering
on Coil-20
