Summary of Scalable Deep Metric Learning on Attributed Graphs, by Xiang Li et al.
Scalable Deep Metric Learning on Attributed Graphsby Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv RamnathFirst…
Scalable Deep Metric Learning on Attributed Graphsby Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv RamnathFirst…
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensemblesby Shuman Peng, Arash Khoeini, Sharan…
Selective Attention: Enhancing Transformer through Principled Context Controlby Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit…
MLDGG: Meta-Learning for Domain Generalization on Graphsby Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang,…
Exploring the Manifold of Neural Networks Using Diffusion Geometryby Elliott Abel, Andrew J. Steindl, Selma…
Benchmarking pre-trained text embedding models in aligning built asset informationby Mehrzad Shahinmoghadam, Ali MotamediFirst submitted…
Dissecting Representation Misalignment in Contrastive Learning via Influence Functionby Lijie Hu, Chenyang Ren, Huanyi Xie,…
Learning Differentiable Surrogate Losses for Structured Predictionby Junjie Yang, Matthieu Labeau, Florence d'Alché-BucFirst submitted to…
Rethinking Thinking Tokens: Understanding Why They Underperform in Practiceby Sreeram Vennam, David Valente, David Herel,…
Implicit Regularization for Multi-label Feature Selectionby Dou El Kefel Mansouri, Khalid Benabdeslem, Seif-Eddine BenkabouFirst submitted…