Summary of History Repeats Itself: a Baseline For Temporal Knowledge Graph Forecasting, by Julia Gastinger et al.
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecastingby Julia Gastinger, Christian Meilicke, Federico…
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecastingby Julia Gastinger, Christian Meilicke, Federico…
Continual Learning of Large Language Models: A Comprehensive Surveyby Haizhou Shi, Zihao Xu, Hengyi Wang,…
REBEL: Reinforcement Learning via Regressing Relative Rewardsby Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen…
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasksby Tongzhou Mu, Minghua Liu, Hao SuFirst submitted…
Weak-to-Strong Extrapolation Expedites Alignmentby Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun PengFirst submitted…
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimizationby Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov,…
Made to Order: Discovering monotonic temporal changes via self-supervised video orderingby Charig Yang, Weidi Xie,…
AAPL: Adding Attributes to Prompt Learning for Vision-Language Modelsby Gahyeon Kim, Sohee Kim, Seokju LeeFirst…
Leaf-Based Plant Disease Detection and Explainable AIby Saurav Sagar, Mohammed Javed, David S DoermannFirst submitted…
Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Reviewby Ethan Kane Waters, Carla…