Generalization Strategy

Generalization strategy in machine learning focuses on developing models that perform well on unseen data, a crucial challenge hindering the broader applicability of many algorithms. Current research explores diverse approaches, including architectural modifications like specialized decoders and attention mechanisms to improve model robustness across varying data distributions and sizes, as well as leveraging techniques like anti-unification for inductive inference and collaborative feature identification in federated learning settings. Understanding the underlying geometry of the loss landscape and identifying distinct generalization strategies employed by models is also a key area of investigation, with implications for improving model performance and interpretability across various applications.

Papers

June 10, 2024

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
Yubin Xiao, Di Wang, Xuan Wu, Yuesong Wu, Boyang Li, Wei Du, Liupu Wang, You Zhou
Strong Generalization Camera Lens Distribution Generalization Model Generalization Model Architecture Vehicle Routing Problem Model Generalizability Generalization Strategy

February 1, 2023

Anti-unification and Generalization: A Survey
David M. Cerna, Temur Kutsia
Timely Survey Strong Generalization Theorem Proving Anti Unification Inductive Inference Generalization Strategy

November 3, 2022

FedGen: Generalizable Federated Learning for Sequential Data
Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian
Federated Learning Better Generalization Sequential Data Invariant Risk Minimization Training Distribution Training Data Distribution Generalization Strategy

May 24, 2022

Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Neural Network Text Classifier Word Model Lattice Path Linear Connectivity Generalization Strategy

Generalization Strategy

Papers

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture

Anti-unification and Generalization: A Survey

FedGen: Generalizable Federated Learning for Sequential Data

Linear Connectivity Reveals Generalization Strategies