Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insightsby Yan Hao,…
Learning treatment effects while treating those in needby Bryan Wilder, Pim WelleFirst submitted to arxiv…
Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Designby Shahroz…
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing…
Teaching Transformers Causal Reasoning through Axiomatic Trainingby Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth…
Probabilistic learning rate scheduler with provable convergenceby Dahlia Devapriya, Thulasi Tholeti, Janani Suresh, Sheetal KalyaniFirst…
Explaining Graph Neural Networks for Node Similarity on Graphsby Daniel Daza, Cuong Xuan Chu, Trung-Kien…
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learningby Dake Zhang, Boxiang Lyu, Shuang Qiu, Mladen Kolar,…
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networksby Simon Mataigne, Johan Mathe, Sophia…
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learningby Giuseppe…