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Found 7 papers, 1 papers with code
EcoVal: An Efficient Data Valuation Framework for Machine Learning
In this paper, we introduce an efficient data valuation framework EcoVal, to estimate the value of data for machine learning models in a fast and practical manner.
SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
The automotive industry plays a critical role in the global economy, and particularly important is the expanding Chinese automobile market due to its immense scale and influence.
Total Selfie: Generating Full-Body Selfies
We present a method to generate full-body selfies from photographs originally taken at arms length.
Learning Continuous Implicit Representation for Near-Periodic Patterns
To address these challenges, we learn a neural implicit representation using a coordinate-based MLP with single image optimization.
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
There is a growing interest in product aesthetics analytics and design.
Learning Robust Variational Information Bottleneck with Reference
We propose a new approach to train a variational information bottleneck (VIB) that improves its robustness to adversarial perturbations.
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Compared with the benchmarked models, our model has the lowest tracking error, across a range of portfolio sizes.
