Accuracy
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Authors are listed in alphabetical order.
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
Accurate emotion perception is crucial for various applications, including human-computer interaction, education, and counseling.
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
ImOOD, to formulate the OOD detection problem on imbalanced data distribution.
Conformal Classification with Equalized Coverage for Adaptively Selected Groups
These sets reflect the model's confidence
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
However, the field has long faced the "elephant in the room:" critical
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Neural stochastic differential equations (Neural SDEs) are an attractive modeling technique for this problem, which parameterize the drift and diffusion terms of an SDE with neural networks.
Learning from Uncertain Data: From Possible Worlds to Possible Models
Exploring every possibility and training a model for each is impractical.
UniAR: A Unified model for predicting human Attention and Responses on visual content
Progress in human behavior modeling involves understanding both implicit, early-stage perceptual behavior, such as human attention, and explicit, later-stage behavior, such as subjective preferences or likes.