Oceania
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan K. Su
Neural Information Processing Systems http://nips.cc/
Positive-Unlabeled Compression on the Cloud
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing XU, Dacheng Tao, Chang Xu
Neural Information Processing Systems http://nips.cc/
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
These preferences are defined based on the stability of the obtained solutions with respect to preferred objective functions.
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Interesting examples include the policy evaluation in reinforcement learning (RL) [e.g.,
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
We also empirically demonstrate that the knowledge of large ViTPose models can be easily transferred to small ones via a simple knowledge token.
A Closer Look at AUROC and AUPRC under Class Imbalance
Prompted by these insights, we reviewed over 1.5 million scientific papers to understand the origin of this invalid
Predicting Label Distribution from Multi-label Ranking
There are currently two strategies including LDL (label distribution learning) and LE (label enhancement) to predict label distributions.