Summary of Strategic Usage in a Multi-learner Setting, by Eliot Shekhtman and Sarah Dean
Strategic Usage in a Multi-Learner Settingby Eliot Shekhtman, Sarah DeanFirst submitted to arxiv on: 29…
Strategic Usage in a Multi-Learner Settingby Eliot Shekhtman, Sarah DeanFirst submitted to arxiv on: 29…
Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulationsby Luke MarksFirst submitted to…
Synchformer: Efficient Synchronization from Sparse Cuesby Vladimir Iashin, Weidi Xie, Esa Rahtu, Andrew ZissermanFirst submitted…
Do deep neural networks utilize the weight space efficiently?by Onur Can Koyun, Behçet Uğur TöreyinFirst…
Distribution-Specific Auditing For Subgroup Fairnessby Daniel Hsu, Jizhou Huang, Brendan JubaFirst submitted to arxiv on:…
AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Citiesby…
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Actionby Tasfia Mashiat, Alex DiChristofano,…
FaKnow: A Unified Library for Fake News Detectionby Yiyuan Zhu, Yongjun Li, Jialiang Wang, Ming…
Context-Former: Stitching via Latent Conditioned Sequence Modelingby Ziqi Zhang, Jingzehua Xu, Jinxin Liu, Zifeng Zhuang,…
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adaptersby Shahed Masoudian, Cornelia Volaucnik,…