Summary of Meta-learning Loss Functions For Deep Neural Networks, by Christian Raymond
Meta-Learning Loss Functions for Deep Neural Networksby Christian RaymondFirst submitted to arxiv on: 14 Jun…
Summary of Elf-ua: Efficient Label-free User Adaptation in Gaze Estimation, by Yong Wu et al.
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimationby Yong Wu, Yang Wang, Sanqing Qu, Zhijun…
Summary of Meta-learning Neural Procedural Biases, by Christian Raymond et al.
Meta-Learning Neural Procedural Biasesby Christian Raymond, Qi Chen, Bing Xue, Mengjie ZhangFirst submitted to arxiv…
Summary of Fairness-aware Meta-learning Via Nash Bargaining, by Yi Zeng et al.
Fairness-Aware Meta-Learning via Nash Bargainingby Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming…
Summary of Agnostic Sharpness-aware Minimization, by Van-anh Nguyen et al.
Agnostic Sharpness-Aware Minimizationby Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Phung, Trung LeFirst…
Summary of Meta Learning Text-to-speech Synthesis in Over 7000 Languages, by Florian Lux et al.
Meta Learning Text-to-Speech Synthesis in over 7000 Languagesby Florian Lux, Sarina Meyer, Lyonel Behringer, Frank…
Summary of Few-shot Load Forecasting Under Data Scarcity in Smart Grids: a Meta-learning Approach, by Georgios Tsoumplekas et al.
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approachby Georgios Tsoumplekas, Christos…
Summary of Graph Mining Under Data Scarcity, by Appan Rakaraddi et al.
Graph Mining under Data scarcityby Appan Rakaraddi, Lam Siew-Kei, Mahardhika Pratama, Marcus de CarvalhoFirst submitted…
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:…
Summary of What Do Language Models Learn in Context? the Structured Task Hypothesis, by Jiaoda Li et al.
What Do Language Models Learn in Context? The Structured Task Hypothesisby Jiaoda Li, Yifan Hou,…