Summary of Representation Learning For Frequent Subgraph Mining, by Rex Ying et al.
Representation Learning for Frequent Subgraph Miningby Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu…
Representation Learning for Frequent Subgraph Miningby Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu…
Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Searchby Md.…
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly…
Improving Language Understanding from Screenshotsby Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi ChenFirst submitted to…
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression…
Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learningby Chandrajit…
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexiconsby Zheng-Xin…
Zero-shot generalization across architectures for visual classificationby Evan Gerritz, Luciano Dyballa, Steven W. ZuckerFirst submitted…
Intriguing Properties of Modern GANsby Roy Friedman, Yair WeissFirst submitted to arxiv on: 21 Feb…
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regressionby Rares-Darius Buhai, Jingqiu Ding, Stefan TiegelFirst…