Summary of Symmetry From Scratch: Group Equivariance As a Supervised Learning Task, by Haozhe Huang et al.
Symmetry From Scratch: Group Equivariance as a Supervised Learning Taskby Haozhe Huang, Leo Kaixuan Cheng,…
Summary of Machine Learning Classification Of Peaceful Countries: a Comparative Analysis and Dataset Optimization, by K. Lian (1) et al.
Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimizationby K. Lian, L.…
Summary of Mitigating Training Imbalance in Llm Fine-tuning Via Selective Parameter Merging, by Yiming Ju et al.
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Mergingby Yiming Ju, Ziyi Ni, Xingrun…
Summary of Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models, by Xinyuan Wang et al.
Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Modelsby Xinyuan Wang, Haozhou…
Summary of Cudle: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments, by Reza Rahimi Azghan et al.
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environmentsby Reza Rahimi Azghan,…
Summary of Can Llms Generate Diverse Molecules? Towards Alignment with Structural Diversity, by Hyosoon Jang et al.
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversityby Hyosoon Jang, Yunhui Jang, Jaehyung…
Summary of Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport, By Siqi Zeng et al.
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transportby Siqi Zeng, Sixian Du,…
Summary of Optimization Proxies Using Limited Labeled Data and Training Time — a Semi-supervised Bayesian Neural Network Approach, by Parikshit Pareek et al.
Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network…
Summary of A Training-free Conditional Diffusion Model For Learning Stochastic Dynamical Systems, by Yanfang Liu et al.
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systemsby Yanfang Liu, Yuan Chen, Dongbin…
Summary of Ood-chameleon: Is Algorithm Selection For Ood Generalization Learnable?, by Liangze Jiang et al.
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?by Liangze Jiang, Damien TeneyFirst submitted to arxiv…