Results 221 to 230 of about 21,351 (259)

Enhancing the Predictive Power of Macrocyclic Drug Permeability by Knowledge Distillation from Analogous Pretraining Data. [PDF]

J Med Chem
Zhang Y, Pentikäinen OT.
europepmc   +1 more source

Leading the Loop: Anchor‐Led Orchestration in Nascent Circular Ecosystems—A Qualitative Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition towards a circular economy necessitates coordinated, systemic change across value chains. Yet the role of anchor firms in initiating and orchestrating nascent circular ecosystems remains underexplored. Using an inductive, qualitative single‐case design, we analyse a German mid‐sized entrepreneurial firm, drawing on 21 interviews
Johann Felix Mader, Patrick Spieth
wiley   +1 more source

An explainable hybrid CNN-transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation. [PDF]

Sci Rep
Lamaakal I, Yahyati C, Maleh Y, Makkaoui KE, Ouahbi I.   +4 more
europepmc   +1 more source

A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI. [PDF]

Sci Rep
Lamaakal I, Yahyati C, Maleh Y, El Makkaoui K, Ouahbi I, El-Latif AAA, Zomorodi M, El-Rahiem BA.   +7 more
europepmc   +1 more source

Automatic network structure discovery of physics informed neural networks via knowledge distillation. [PDF]

Nat Commun
Liu Z, Liu Y, Yan X, Liu W, Nie H, Guo S, Zhang CA.   +6 more
europepmc   +1 more source

On Dark Knowledge for Distilling Generators

Hong, Chi, Birke, Robert, Chen, Pin-Yu, Chen, Lydia Y.   +3 more
openaire   +1 more source

4D trajectory lightweight prediction algorithm based on knowledge distillation technique. [PDF]

Front Neurorobot
Tang W, Dai J, Huang Z, Hao B, Xie W.
europepmc   +1 more source

Multi-teacher based knowledge distillation for retinal vessel segmentation. [PDF]

Health Inf Sci Syst
Eid A, Aydin M, Kuş Z.
europepmc   +1 more source

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Distilling Knowledge in Federated Learning

2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS), 2021
Nowadays, Federated Learning has emerged as the prominent collaborative learning approach among multiple machine learning techniques. This framework enables communication-efficient and privacy-preserving solution that a group of users interacts with a server to collaboratively train a powerful global model without exchanging users' raw data.
Huy, Q. Le, Jong, Hoon Shin, Minh, N. H. Nguyen, Choong, Seon Hong   +3 more
openaire   +1 more source

Extractive Knowledge Distillation

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
openaire   +1 more source