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Found 7 papers, 4 papers with code
Data Alignment for Zero-Shot Concept Generation in Dermatology AI
Our goal is to use these models to generate caption text that aligns well with both the clinical lexicon and with the natural human language used in CLIP's pre-training data.
Classification for everyone : Building geography agnostic models for fairer recognition
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models.
Estimating Conditional Mutual Information for Dynamic Feature Selection
Dynamic feature selection, where we sequentially query features to make accurate predictions with a minimal budget, is a promising paradigm to reduce feature acquisition costs and provide transparency into a model's predictions.
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Medical image segmentation models are typically supervised by expert annotations at the pixel-level, which can be expensive to acquire.
Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
With our best models, we are able to achieve average rewards of 170+ with the Sarsa agent and 200+ with the Deep Q-Learning agent on the original problem.
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis
The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain.
Intelligent City Traffic Management and Public Transportation System
Intelligent Transportation System in case of cities is controlling traffic congestion and regulating the traffic flow.
