Type
Funder
Country
—
ROR
—
Documents
16
through any edge
Papers
0
authorship edges
Awards made
17
11 grant numbers
Named as funder
16
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Tianjin Municipal Science and Technology Bureau has funded
17 awards under 11 distinct grant numbers, across 10 documents. A further 16 documents name it as a funder without a grant number — a weaker claim, counted separately.
Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategygrant 18JCZDJC32100 · 2021-07-22Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategygrant 20190902 · 2021-07-22Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategygrant 51874300 · 2021-07-22Gradient Descent Optimization in Deep Learning Model Training Based on Multistage and Method Combination Strategygrant U1510115 · 2021-07-22Unsupervised Anomaly Detection Based on Deep Autoencoding and Clusteringgrant 18JCZDJC32100 · 2021-10-13Unsupervised Anomaly Detection Based on Deep Autoencoding and Clusteringgrant 20190902 · 2021-10-13Unsupervised Anomaly Detection Based on Deep Autoencoding and Clusteringgrant 51874300 · 2021-10-13Unsupervised Anomaly Detection Based on Deep Autoencoding and Clusteringgrant U1510115 · 2021-10-13Enhancing Negotiation Policies via Spatio-Temporal Directed Graphs for Autonomous Interactiongrant 19ZXZNGX00050 · 2025-01-01Rethinking Distractor Quality in Multimodal Multiple-Choice Questions: Automated Evaluation and Hard Benchmark Constructiongrant 25JCZDSN00020 · 2026-02-18
10 of 33 funding edges