Summary of Estimating Noisy Class Posterior with Part-level Labels For Noisy Label Learning, by Rui Zhao et al.
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learningby Rui Zhao, Bin Shi,…
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learningby Rui Zhao, Bin Shi,…
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Predictionby Shi Yin, Xinyang…
Batched Stochastic Bandit for Nondegenerate Functionsby Yu Liu, Yunlu Shu, Tianyu WangFirst submitted to arxiv…
Optimal Baseline Corrections for Off-Policy Contextual Banditsby Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de…
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared…
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiersby Silvan Mertes, Tobias Huber, Christina Karle, Katharina…
Offline Model-Based Optimization via Policy-Guided Gradient Searchby Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan…
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theoryby Pasan Dissanayake, Sanghamitra DuttaFirst submitted…
The Effect of Model Size on LLM Post-hoc Explainability via LIMEby Henning Heyen, Amy Widdicombe,…
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversationsby Preetam Prabhu…