Repositories
Select a repository to view its commits, contributors, and more.cv_bias_amplification
Bias amplification and overconfidence in computer vision.
alma
Anytime Learning At Macroscale
AVAR_2022_RA_Similarity
Repository with supplementary material of the paper "Towards the prediction of perceived room acoustical similarity" published at AES AVAR 2022.
FDC1004_CapacitiveSensing
Library for accessing capacitive measurements with the FDC1004 (TI) with Arduino.
ecevecce
Metrics of calibration for probabilistic predictions
Contextualized-Vendi-Score-Guidance
Codebase for the ECCV 2024 paper: Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
FIND
FIND: search For Inductive biases IN Deep seq2seq
ICRM
Context is Environment
omnisealbench
This repository provides a comprehensive benchmark for evaluating the performance of neural watermarking techniques. The benchmark includes a variety of datasets, evaluation metrics, and tools for training and testing neural networks for watermarking.
UNOC
TBD
dpcap
Codebase for the ICML 2024 paper "Differentially Private Representation Learning via Image Captioning"
social-catalysts
We introduce the notion of a social catalyst in the context of social media a person who prompts interaction between their friends through their posts. We find not only that this activity is heavily skewed, but that it also correlates with participation in groups and events. We validate the behavioral measure using a survey wherein people nominate social catalysts in their friend network. Whether a person will be nominated as a social catalyst can be predicted using network features and the tendency of their posts to prompt discussion. Although individuals' role as social catalysts has not attracted much study to date, this paper demonstrates that it can be studied both via behavioral and survey measures.