Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factualsby Gregory Yampolsky, Dhruv Desai, Mingshu…
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Samplingby Jian…
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverageby Aishwarya Gupta, Indranil Saha, Piyush…
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity…
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningby Yuyang Xue, Junyu Yan, Raman Dutt, Fasih…
Fooling SHAP with Output Shuffling Attacksby Jun Yuan, Aritra DasguptaFirst submitted to arxiv on: 12…
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfactionby Yi Wu, Daryl Chang,…
The NP-hardness of the Gromov-Wasserstein distanceby Natalia KravtsovaFirst submitted to arxiv on: 12 Aug 2024CategoriesMain:…
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lightingby Felix Assion,…
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributesby Yijun Bian, Yujie Luo,…