Search Results for author:
Found 9 papers, 4 papers with code
From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
While deepfake technologies have predominantly been criticized for potential misuse, our study demonstrates their significant potential as tools for detecting, measuring, and mitigating biases in key societal domains.
Benchmarking Table Comprehension In The Wild
In this work, we introduce TableQuest, a new benchmark designed to evaluate the holistic table comprehension capabilities of LLMs in the natural table-rich context of financial reports.
Echoes of Biases: How Stigmatizing Language Affects AI Performance
To explore an operationally efficient way to mitigate SL's impact, we investigate patterns in the generation of SL through a clinicians' collaborative network, identifying central clinicians as having a stronger impact on racial disparity in the AI model.
Explainable Artificial Intelligence (XAI)
Mortality Prediction
RAF: Holistic Compilation for Deep Learning Model Training
In this paper, we present RAF, a deep learning compiler for training.
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs
With the proposed paradigm, we implement a deep learning compiler Hidet.
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach
While Information Extraction (IE) techniques can be used to extract the PII automatically, Deep Learning (DL)-based IE models alleviate the need for feature engineering and further improve the efficiency.
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark
Researchers have explored advanced methods from computer vision and natural language processing to incorporate medical domain knowledge for the generation of readable medical reports.
Optimizing Memory-Access Patterns for Deep Learning Accelerators
Deep learning (DL) workloads are moving towards accelerators for faster processing and lower cost.
Analyzing Periodicity and Saliency for Adult Video Detection
Content-based adult video detection plays an important role in preventing pornography.
