small sample learning

DataFunSummit

Jan 28, 2025 · Artificial Intelligence

Few-Shot Learning for Multi-New-Class Scenarios: Challenges, Methodology, and Experimental Evaluation

This article introduces a novel few‑shot learning approach tailored for multi‑new‑class scenarios, discusses its background, problem definition, proposed parallel training framework, hierarchical fine‑tuning method, and presents extensive experiments demonstrating superior performance and computational efficiency.

computer visiondistributed trainingfew-shot learning

0 likes · 10 min read

Few-Shot Learning for Multi-New-Class Scenarios: Challenges, Methodology, and Experimental Evaluation

Didi Tech

Apr 16, 2021 · Artificial Intelligence

Governance Algorithms for O2O Ride-Hailing Platforms: Challenges, Framework, and Model Exploration

The paper presents Didi’s three‑layer governance‑algorithm framework for O2O ride‑hailing, addressing high business complexity, limited labeled data, interpretability, and multimodal features through small‑sample, transfer, and multi‑task learning, achieving notable gains in dispute resolution, NPS and CPO while highlighting remaining data and robustness challenges.

Ride-hailingfeature engineeringgovernance algorithms

0 likes · 15 min read

Governance Algorithms for O2O Ride-Hailing Platforms: Challenges, Framework, and Model Exploration