Summary of Self-supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods, by Daniel Otero et al.
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methodsby Daniel Otero, Rafael Mateus, Randall…
Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methodsby Daniel Otero, Rafael Mateus, Randall…
Enhancing Graph Self-Supervised Learning with Graph Interplayby Xinjian Zhao, Wei Pang, Xiangru Jian, Yaoyao Xu,…
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articlesby Md. Tarek…
Denoising with a Joint-Embedding Predictive Architectureby Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua WuFirst submitted…
Teaching Transformers Modular Arithmetic at Scaleby Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin LauterFirst submitted…
A General Framework for Producing Interpretable Semantic Text Embeddingsby Yiqun Sun, Qiang Huang, Yixuan Tang,…
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transportby Siqi Zeng, Sixian Du,…
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignmentby Yifan Zhang, Ge Zhang,…
Adversarial Decoding: Generating Readable Documents for Adversarial Objectivesby Collin Zhang, Tingwei Zhang, Vitaly ShmatikovFirst submitted…
TopER: Topological Embeddings in Graph Representation Learningby Astrit Tola, Funmilola Mary Taiwo, Cuneyt Gurcan Akcora,…