Summary of Meta Operator For Complex Query Answering on Knowledge Graphs, by Hang Yin et al.
Meta Operator for Complex Query Answering on Knowledge Graphsby Hang Yin, Zihao Wang, Yangqiu SongFirst…
Summary of Autolora: Automatically Tuning Matrix Ranks in Low-rank Adaptation Based on Meta Learning, by Ruiyi Zhang et al.
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learningby Ruiyi Zhang, Rushi…
Summary of Unleashing the Power Of Meta-tuning For Few-shot Generalization Through Sparse Interpolated Experts, by Shengzhuang Chen et al.
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Expertsby Shengzhuang Chen, Jihoon…
Summary of Unsupervised Learning Of Hybrid Latent Dynamics: a Learn-to-identify Framework, by Yubo Ye et al.
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Frameworkby Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang,…
Summary of All in One: Multi-task Prompting For Graph Neural Networks (extended Abstract), by Xiangguo Sun et al.
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)by Xiangguo Sun, Hong Cheng,…
Summary of Xb-maml: Learning Expandable Basis Parameters For Effective Meta-learning with Wide Task Coverage, by Jae-jun Lee et al.
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverageby Jae-Jun Lee, Sung…
Summary of Provable Multi-party Reinforcement Learning with Diverse Human Feedback, by Huiying Zhong et al.
Provable Multi-Party Reinforcement Learning with Diverse Human Feedbackby Huiying Zhong, Zhun Deng, Weijie J. Su,…
Summary of Online Adaptation Of Language Models with a Memory Of Amortized Contexts, by Jihoon Tack et al.
Online Adaptation of Language Models with a Memory of Amortized Contextsby Jihoon Tack, Jaehyung Kim,…
Summary of Boosting Meta-training with Base Class Information For Few-shot Learning, by Weihao Jiang et al.
Boosting Meta-Training with Base Class Information for Few-Shot Learningby Weihao Jiang, Guodong Liu, Di He,…
Summary of Learning to Defer to a Population: a Meta-learning Approach, by Dharmesh Tailor et al.
Learning to Defer to a Population: A Meta-Learning Approachby Dharmesh Tailor, Aditya Patra, Rajeev Verma,…