8 citations · 8 across the 4 of their papers we have counts for
5 papers
Weight Oracles: Reading Neural Network Weights with Language Models
Krishna Kabra, Constantin Venhoff, Christian Schroeder de Witt
Interpretability methods for neural networks are predominantly reactive: they analyse activations produced during specific forward passes, requiring known inputs to find hidden cap…
GELDA: A generative language annotation framework to reveal visual biases in datasets
Krish Kabra, Kathleen M. Lewis, Guha Balakrishnan
Bias analysis is a crucial step in the process of creating fair datasets for training and evaluating computer vision models. The bottleneck in dataset analysis is annotation, which…
F?D: On understanding the role of deep feature spaces on face generation evaluation
Krish Kabra, Guha Balakrishnan
Perceptual metrics, like the Fréchet Inception Distance (FID), are widely used to assess the similarity between synthetically generated and ground truth (real) images. The key idea…
Deep object detection for waterbird monitoring using aerial imagery
Krish Kabra, Alexander Xiong, Wenbin Li +11
Monitoring of colonial waterbird nesting islands is essential to tracking waterbird population trends, which are used for evaluating ecosystem health and informing conservation man…
Diverse R-PPG: Camera-Based Heart Rate Estimation for Diverse Subject Skin-Tones and Scenes
Pradyumna Chari, Krish Kabra, Doruk Karinca +7
Heart rate (HR) is an essential clinical measure for the assessment of cardiorespiratory instability. Since communities of color are disproportionately affected by both COVID-19 an…