1 code implementation • 5 Oct 2023 • Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish
Based on these properties, we define an extensible framework to evaluate language and table embedding models.
1 code implementation • 12 Jan 2023 • Tianji Cong, Fatemeh Nargesian, H. V. Jagadish
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.
no code implementations • 29 Sep 2021 • Tianji Cong, Atul Prakash
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
no code implementations • 27 Nov 2019 • Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
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.