Summary of Cooperative Meta-learning with Gradient Augmentation, by Jongyun Shin et al.
Cooperative Meta-Learning with Gradient Augmentationby Jongyun Shin, Seunjin Han, Jangho KimFirst submitted to arxiv on:…
Cooperative Meta-Learning with Gradient Augmentationby Jongyun Shin, Seunjin Han, Jangho KimFirst submitted to arxiv on:…
LinkGPT: Teaching Large Language Models To Predict Missing Linksby Zhongmou He, Jing Zhu, Shengyi Qian,…
On the Effects of Data Scale on UI Control Agentsby Wei Li, William Bishop, Alice…
Tiny models from tiny data: Textual and null-text inversion for few-shot distillationby Erik Landolsi, Fredrik…
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generationby Ali…
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Modelsby Jinhao Li, Haopeng Li, Sarah…
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecastingby Zhanyu Liu, Jianrong Ding, Guanjie ZhengFirst submitted…
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysisby Yi Hu, Hyeonjin Kim,…
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimizationby Jixiang Qing, Becky D Langdon, Robert M…
Continual Unsupervised Out-of-Distribution Detectionby Lars Doorenbos, Raphael Sznitman, Pablo Márquez-NeilaFirst submitted to arxiv on: 4…