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Found 4 papers, 2 papers with code
LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
We investigate the prospect of reconstructing the ``cosmic distance ladder'' of the Universe using a novel deep learning framework called LADDER - Learning Algorithm for Deep Distance Estimation and Reconstruction.
VALUED -- Vision and Logical Understanding Evaluation Dataset
In order to address this, we present the VALUE (Vision And Logical Understanding Evaluation) Dataset, consisting of 200, 000$+$ annotated images and an associated rule set, based on the popular board game - chess.
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise.
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
While transformer models achieve high performance on standard question answering tasks, we show that they fail to be semantically faithful once we perform these interventions for a significant number of cases (~50% for deletion intervention, and ~20% drop in accuracy for negation intervention).
