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Found 7 papers, 1 papers with code
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
Accurately determining salient regions of an image is challenging when labeled data is scarce.
CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
We propose multiple forms of our co-optimized region and layer selection strategy to demonstrate the variation of time complexity with the quality of edits over different architectural intricacies while preserving simplicity.
On Shapley Credit Allocation for Interpretability
Besides the widely used expected value of the model, we also discuss measures of statistical uncertainty and dispersion as informative candidates, and their merits in generating explanations for each data point, some of which are used in this context for the first time.
Towards Learning-automation IoT Attack Detection through Reinforcement Learning
These low-rate attacks are challenging to detect and can persist in the networks.
Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms
Sentiment Analysis is an important algorithm in Natural Language Processing which is used to detect sentiment within some text.
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations
Communication bottleneck has been identified as a significant issue in distributed optimization of large-scale learning models.
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Communication bottleneck has been identified as a significant issue in distributed optimization of large-scale learning models.
