Summary of Spectral Greedy Coresets For Graph Neural Networks, by Mucong Ding et al.
Spectral Greedy Coresets for Graph Neural Networksby Mucong Ding, Yinhan He, Jundong Li, Furong HuangFirst…
Spectral Greedy Coresets for Graph Neural Networksby Mucong Ding, Yinhan He, Jundong Li, Furong HuangFirst…
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNEby Aditya…
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalitiesby Hao Dong, Yue Zhao, Eleni Chatzi, Olga FinkFirst…
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learningby Abdulaziz Almuzairee, Nicklas Hansen, Henrik…
Survival of the Fittest Representation: A Case Study with Modular Additionby Xiaoman Delores Ding, Zifan…
From Neurons to Neutrons: A Case Study in Interpretabilityby Ouail Kitouni, Niklas Nolte, VĂctor Samuel…
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detectionby Shuai Zeng, Wenzhao Zheng, Jiwen Lu, Haibin…
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Modelsby Chankyu Lee, Rajarshi Roy, Mengyao…
Matryoshka Multimodal Modelsby Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae LeeFirst submitted to arxiv…
CataLM: Empowering Catalyst Design Through Large Language Modelsby Ludi Wang, Xueqing Chen, Yi Du, Yuanchun…