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Found 5 papers, 1 papers with code
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
For uncertainty quantification, we efficiently model both aleatoric and epistemic uncertainty by learning discrete traction distributions and probability densities of the traction predictor's latent features.
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
The proposed approach achieves state-of-the-art results on the standard Domain Generalization benchmarks in a black-box teacher setting as well as a white-box setting where the weights of the VLM are accessible.
Ranked #2 on
Domain Generalization
on DomainNet
Neural Image Captioning
In recent years, the biggest advances in major Computer Vision tasks, such as object recognition, handwritten-digit identification, facial recognition, and many others., have all come through the use of Convolutional Neural Networks (CNNs).
Natural Language Understanding with the Quora Question Pairs Dataset
This paper explores the task Natural Language Understanding (NLU) by looking at duplicate question detection in the Quora dataset.
Sentiment Classification using Images and Label Embeddings
In this project we analysed how much semantic information images carry, and how much value image data can add to sentiment analysis of the text associated with the images.
