Summary of Disentangled Hyperbolic Representation Learning For Heterogeneous Graphs, by Qijie Bai et al.
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphsby Qijie Bai, Changli Nie, Haiwei Zhang, Zhicheng Dou,…
Summary of Optimal Synthesis Embeddings, by Roberto Santana and Mauricio Romero Sicre
Optimal synthesis embeddingsby Roberto Santana, Mauricio Romero SicreFirst submitted to arxiv on: 10 Jun 2024CategoriesMain:…
Summary of Meta-learning Loss Functions For Deep Neural Networks, by Christian Raymond
Meta-Learning Loss Functions for Deep Neural Networksby Christian RaymondFirst submitted to arxiv on: 14 Jun…
Summary of Differentiable Reasoning About Knowledge Graphs with Region-based Graph Neural Networks, by Aleksandar Pavlovic et al.
Differentiable Reasoning about Knowledge Graphs with Region-based Graph Neural Networksby Aleksandar Pavlovic, Emanuel Sallinger, Steven…
Summary of Circuitvae: Efficient and Scalable Latent Circuit Optimization, by Jialin Song et al.
CircuitVAE: Efficient and Scalable Latent Circuit Optimizationby Jialin Song, Aidan Swope, Robert Kirby, Rajarshi Roy,…
Summary of Towards An Improved Understanding and Utilization Of Maximum Manifold Capacity Representations, by Rylan Schaeffer et al.
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representationsby Rylan Schaeffer, Victor Lecomte,…
Summary of Research on Optimization Of Natural Language Processing Model Based on Multimodal Deep Learning, by Dan Sun et al.
Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learningby Dan Sun,…
Summary of Conceptual Learning Via Embedding Approximations For Reinforcing Interpretability and Transparency, by Maor Dikter et al.
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparencyby Maor Dikter, Tsachi Blau, Chaim…
Summary of Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner, by Tong Nie et al.
Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learnerby Tong Nie, Guoyang Qin,…
Summary of Large Language Model Unlearning Via Embedding-corrupted Prompts, by Chris Yuhao Liu et al.
Large Language Model Unlearning via Embedding-Corrupted Promptsby Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang…