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Found 8 papers, 3 papers with code
Neural Pseudo-Label Optimism for the Bank Loan Problem
The lender only observes whether a customer will repay a loan if the loan is issued to begin with, and thus modeled decisions affect what data is available to the lender for future decisions.
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Many active learning and search approaches are intractable for large-scale industrial settings with billions of unlabeled examples.
SentiNet: Detecting Physical Attacks Against Deep Learning Systems
By leveraging the neural network's susceptibility to attacks and by using techniques from model interpretability and object detection as detection mechanisms, SentiNet turns a weakness of a model into a strength.
Cryptography and Security
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images
Computer-vision hospital systems can greatly assist healthcare workers and improve medical facility treatment, but often face patient resistance due to the perceived intrusiveness and violation of privacy associated with visual surveillance.
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Homomorphic encryption enables arbitrary computation over data while it remains encrypted.
Cryptography and Security
Neural Graph Matching Networks for Fewshot 3D Action Recognition
We propose Neural Graph Matching (NGM) Networks, a novel framework that can learn to recognize a previous unseen 3D action class with only a few examples.
Ranked #1 on
Skeleton Based Action Recognition
on CAD-120
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos
A major challenge in computer vision is scaling activity understanding to the long tail of complex activities without requiring collecting large quantities of data for new actions.
AI Blue Book: Vehicle Price Prediction using Visual Features
In this work, we build a series of machine learning models to predict the price of a product given its image, and visualize the features that result in higher or lower price predictions.
