Summary of Open Knowledge Base Canonicalization with Multi-task Unlearning, by Bingchen Liu et al.
Open Knowledge Base Canonicalization with Multi-task Unlearningby Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao,…
Open Knowledge Base Canonicalization with Multi-task Unlearningby Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao,…
Convergence Analysis of Sequential Federated Learning on Heterogeneous Databy Yipeng Li, Xinchen LyuFirst submitted to…
MultiIoT: Benchmarking Machine Learning for the Internet of Thingsby Shentong Mo, Louis-Philippe Morency, Russ Salakhutdinov,…
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimizationby James Kotary, Vincenzo Di Vito,…
Detecting out-of-distribution text using topological features of transformer-based language modelsby Andres Pollano, Anupam Chaudhuri, Anj…
Towards Comparable Active Learningby Thorben Werner, Johannes Burchert, Lars Schmidt-ThiemeFirst submitted to arxiv on: 30…
Latent Diffusion Model for DNA Sequence Generationby Zehui Li, Yuhao Ni, Tim August B. Huygelen,…
Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theoryby Yiyou SunFirst submitted…
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health recordsby Samuel Kim,…
Group-blind optimal transport to group parity and its constrained variantsby Quan Zhou, Jakub MarecekFirst submitted…