Gradient-Free Training of Recurrent Neural Networks using Random Perturbationsby Jesus Garcia Fernandez, Sander Keemink, Marcel…
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Predictionby Zhihao Yu, Xu Chu, Yujie…
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarityby Wenrui Li, Wei Zhang,…
A Brief Introduction to Causal Inference in Machine Learningby Kyunghyun ChoFirst submitted to arxiv on:…
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognitionby Zhiyong Yang, Qianqian Xu, Zitai…
Lai Loss: A Novel Loss for Gradient Controlby YuFei LaiFirst submitted to arxiv on: 13…
On-device Online Learning and Semantic Management of TinyML Systemsby Haoyu Ren, Xue Li, Darko Anicic,…
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Modelsby Yubin Shi, Yixuan Chen, Mingzhi…
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learningby Changhong Wang, Xudong Yu, Chenjia…
GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shiftsby Sofia Casarin, Oswald Lanz, Sergio…