Search Results for author:
Found 6 papers, 2 papers with code
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition
3D modeling from satellite imagery is essential in areas of environmental science, urban planning, agriculture, and disaster response.
NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion Understanding
We propose a method known as Neighborhood Attention with Convolutions TCN (NAC-TCN) which incorporates the benefits of attention and Temporal Convolutional Networks while ensuring that causal relationships are understood which results in a reduction in computation and memory cost.
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
Through comprehensive experiments, we show that OOD detectors are more sensitive to covariate shift than to semantic shift, and the benefits of recent OOD detection algorithms on semantic shift detection is minimal.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
Confidence-Calibrated Ensemble Dense Phrase Retrieval
In this paper, we consider the extent to which the transformer-based Dense Passage Retrieval (DPR) algorithm, developed by (Karpukhin et.
Decision-Dependent Distributionally Robust Markov Decision Process Method in Dynamic Epidemic Control
In this paper, we present a Distributionally Robust Markov Decision Process (DRMDP) approach for addressing the dynamic epidemic control problem.
Data-Driven Investigative Journalism For Connectas Dataset
The following paper explores the possibility of using Machine Learning algorithms to detect the cases of corruption and malpractice by governments.
