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Found 5 papers, 2 papers with code
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
We show that subsets that closely preserve the cross-covariance of the images and captions of the full data provably achieve a superior generalization performance.
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.
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Recently, Similarity-aware Time Series Classification (SimTSC) is proposed to address this problem by using a graph neural network classification model on the graph generated from pairwise Dynamic Time Warping (DTW) distance of batch data.
Improved Techniques for GAN based Facial Inpainting
Current benchmark models are susceptible to initial solutions of non-convex optimization criterion of GAN based inpainting.
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network
Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions.
