Summary of Taglas: An Atlas Of Text-attributed Graph Datasets in the Era Of Large Graph and Language Models, by Jiarui Feng et al.
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language…
Summary of This Looks Better Than That: Better Interpretable Models with Protopnext, by Frank Willard et al.
This Looks Better than That: Better Interpretable Models with ProtoPNeXtby Frank Willard, Luke Moffett, Emmanuel…
Summary of A Contrastive Learning Approach to Mitigate Bias in Speech Models, by Alkis Koudounas et al.
A Contrastive Learning Approach to Mitigate Bias in Speech Modelsby Alkis Koudounas, Flavio Giobergia, Eliana…
Summary of A Benchmark Study Of Deep-rl Methods For Maximum Coverage Problems Over Graphs, by Zhicheng Liang et al.
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphsby Zhicheng Liang, Yu…
Summary of Preferential Multi-objective Bayesian Optimization, by Raul Astudillo et al.
Preferential Multi-Objective Bayesian Optimizationby Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D.…
Summary of An Advanced Physics-informed Neural Operator For Comprehensive Design Optimization Of Highly-nonlinear Systems: An Aerospace Composites Processing Case Study, by Milad Ramezankhani et al.
An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites…
Summary of Pathological Regularization Regimes in Classification Tasks, by Maximilian Wiesmann et al.
Pathological Regularization Regimes in Classification Tasksby Maximilian Wiesmann, Paul LarsenFirst submitted to arxiv on: 20…
Summary of Latent Variable Sequence Identification For Cognitive Models with Neural Network Estimators, by Ti-fen Pan et al.
Latent Variable Sequence Identification for Cognitive Models with Neural Network Estimatorsby Ti-Fen Pan, Jing-Jing Li,…
Summary of Behavior-inspired Neural Networks For Relational Inference, by Yulong Yang et al.
Behavior-Inspired Neural Networks for Relational Inferenceby Yulong Yang, Bowen Feng, Keqin Wang, Naomi Ehrich Leonard,…
Summary of A General Control-theoretic Approach For Reinforcement Learning: Theory and Algorithms, by Weiqin Chen et al.
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithmsby Weiqin Chen, Mark S. Squillante,…