Summary of Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis, by Anshul Thakur et al.
Efficient Task Grouping Through Samplewise Optimisation Landscape Analysisby Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang…
Summary of The Broader Spectrum Of In-context Learning, by Andrew Kyle Lampinen et al.
The broader spectrum of in-context learningby Andrew Kyle Lampinen, Stephanie C. Y. Chan, Aaditya K.…
Summary of Efficient Model Compression Techniques with Fishleg, by Jamie Mcgowan et al.
Efficient Model Compression Techniques with FishLegby Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge,…
Summary of Unlocking Tuning-free Few-shot Adaptability in Visual Foundation Models by Recycling Pre-tuned Loras, By Zixuan Hu and Yongxian Wei and Li Shen and Chun Yuan and Dacheng Tao
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsby Zixuan Hu, Yongxian…
Summary of Meta-learning Loss Functions Of Parametric Partial Differential Equations Using Physics-informed Neural Networks, by Michail Koumpanakis et al.
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networksby Michail Koumpanakis, Ricardo…
Summary of Quota: Quantifying Objects with Text-to-image Models For Any Domain, by Wenfang Sun et al.
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domainby Wenfang Sun, Yingjun Du, Gaowen Liu,…
Summary of On the Erm Principle in Meta-learning, by Yannay Alon et al.
On the ERM Principle in Meta-Learningby Yannay Alon, Steve Hanneke, Shay Moran, Uri ShalitFirst submitted…
Summary of Material Synthesis Through Simulations Guided by Machine Learning: a Position Paper, By Usman Syed et al.
Material synthesis through simulations guided by machine learning: a position paperby Usman Syed, Federico Cunico,…
Summary of Adaptagent: Adapting Multimodal Web Agents with Few-shot Learning From Human Demonstrations, by Gaurav Verma et al.
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrationsby Gaurav Verma, Rachneet Kaur,…
Summary of Mldgg: Meta-learning For Domain Generalization on Graphs, by Qin Tian et al.
MLDGG: Meta-Learning for Domain Generalization on Graphsby Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang,…