Summary of Outlier-efficient Hopfield Layers For Large Transformer-based Models, by Jerry Yao-chieh Hu et al.
Outlier-Efficient Hopfield Layers for Large Transformer-Based Modelsby Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Robin Luo, Hong-Yu…
Summary of Bishop: Bi-directional Cellular Learning For Tabular Data with Generalized Sparse Modern Hopfield Model, by Chenwei Xu et al.
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Modelby Chenwei Xu,…
Summary of An Explainablefair Framework For Prediction Of Substance Use Disorder Treatment Completion, by Mary M. Lucas et al.
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completionby Mary M. Lucas, Xiaoyang…
Summary of Generalization Bounds For Message Passing Networks on Mixture Of Graphons, by Sohir Maskey et al.
Generalization Bounds for Message Passing Networks on Mixture of Graphonsby Sohir Maskey, Gitta Kutyniok, Ron…
Summary of Countarfactuals — Generating Plausible Model-agnostic Counterfactual Explanations with Adversarial Random Forests, by Susanne Dandl et al.
CountARFactuals – Generating plausible model-agnostic counterfactual explanations with adversarial random forestsby Susanne Dandl, Kristin Blesch,…
Summary of Approximate Gradient Coding For Privacy-flexible Federated Learning with Non-iid Data, by Okko Makkonen et al.
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Databy Okko Makkonen, Sampo Niemelä, Camilla…
Summary of Banglaautokg: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering, by Azmine Toushik Wasi and Taki Hasan Rafi and Raima Islam and Dong-kyu Chae
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filteringby Azmine Toushik Wasi, Taki…
Summary of How Does Multi-task Training Affect Transformer In-context Capabilities? Investigations with Function Classes, by Harmon Bhasin et al.
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classesby Harmon Bhasin, Timothy…
Summary of Tinyvqa: Compact Multimodal Deep Neural Network For Visual Question Answering on Resource-constrained Devices, by Hasib-al Rashid et al.
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devicesby Hasib-Al Rashid,…
Summary of Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-optimal Algorithm, by Miao Lu et al.
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithmby Miao Lu,…