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Found 4 papers, 2 papers with code
Observatory: Characterizing Embeddings of Relational Tables
Based on these properties, we define an extensible framework to evaluate language and table embedding models.
Pylon: Semantic Table Union Search in Data Lakes
The large size and fast growth of data repositories, such as data lakes, has spurred the need for data discovery to help analysts find related data.
Sneakoscope: Revisiting Unsupervised Out-of-Distribution Detection
The problem of detecting out-of-distribution (OOD) examples in neural networks has been widely studied in the literature, with state-of-the-art techniques being supervised in that they require fine-tuning on OOD data to achieve high-quality OOD detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Can Attention Masks Improve Adversarial Robustness?
Focusing on the observation that discrete pixelization in MNIST makes the background completely black and foreground completely white, we hypothesize that the important property for increasing robustness is the elimination of image background using attention masks before classifying an object.
