Summary of Logora: Local-global Representation Alignment For Robust Time Series Classification, by Huanyu Zhang et al.
LogoRA: Local-Global Representation Alignment for Robust Time Series Classificationby Huanyu Zhang, Yi-Fan Zhang, Zhang Zhang,…
Summary of Grin: Gradient-informed Moe, by Liyuan Liu et al.
GRIN: GRadient-INformed MoEby Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao…
Summary of Finetuning Language Models to Emit Linguistic Expressions Of Uncertainty, by Arslan Chaudhry et al.
Finetuning Language Models to Emit Linguistic Expressions of Uncertaintyby Arslan Chaudhry, Sridhar Thiagarajan, Dilan GorurFirst…
Summary of Npat Null-space Projected Adversarial Training Towards Zero Deterioration, by Hanyi Hu et al.
NPAT Null-Space Projected Adversarial Training Towards Zero Deteriorationby Hanyi Hu, Qiao Han, Kui Chen, Yao…
Summary of Consistent Estimation Of a Class Of Distances Between Covariance Matrices, by Roberto Pereira et al.
Consistent Estimation of a Class of Distances Between Covariance Matricesby Roberto Pereira, Xavier Mestre, Davig…
Summary of The Factuality Of Large Language Models in the Legal Domain, by Rajaa El Hamdani and Thomas Bonald and Fragkiskos Malliaros and Nils Holzenberger and Fabian Suchanek
The Factuality of Large Language Models in the Legal Domainby Rajaa El Hamdani, Thomas Bonald,…
Summary of Symmetry-based Structured Matrices For Efficient Approximately Equivariant Networks, by Ashwin Samudre et al.
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networksby Ashwin Samudre, Mircea Petrache, Brian D. Nord,…
Summary of Constraint Guided Autoencoders For Joint Optimization Of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring, by Maarten Meire et al.
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine…
Summary of Optimizing Job Shop Scheduling in the Furniture Industry: a Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics, by Malte Schneevogt et al.
Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup,…
Summary of Graph Neural Network-state Predictive Information Bottleneck (gnn-spib) Approach For Learning Molecular Thermodynamics and Kinetics, by Ziyue Zou et al.
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kineticsby Ziyue…