Search Results for author:
Found 6 papers, 2 papers with code
AdaFocal: Calibration-aware Adaptive Focal Loss
In this paper, we propose a calibration-aware adaptive focal loss called AdaFocal that utilizes the calibration properties of focal (and inverse-focal) loss and adaptively modifies $\gamma_t$ for different groups of samples based on $\gamma_{t-1}$ from the previous step and the knowledge of model's under/over-confidence on the validation set.
Low-resource Low-footprint Wake-word Detection using Knowledge Distillation
As virtual assistants have become more diverse and specialized, so has the demand for application or brand-specific wake words.
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
We show that fluent and adequate summaries can be generated with limited training data by fine-tuning BART on a specially constructed dataset.
Gate-controllable electronic trap detection in dielectrics
Gate controllable electronic trap detection method has been demonstrated by regulating the gate potential of MIS devices.
Applied Physics Materials Science
Depression Severity Estimation from Multiple Modalities
In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develop automatic methods for the detection of depression.
The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems
In this paper, we address the issue of automatic prediction of readers{'} mood from newspaper articles and comments.
