Results 101 to 110 of about 11,040,138 (216)

Knowledge Transfer with Jacobian Matching

, 2018
Classical distillation methods transfer representations from a "teacher" neural network to a "student" network by matching their output activations. Recent methods also match the Jacobians, or the gradient of output activations with the input.
Fleuret, Francois, Srinivas, Suraj
core  

Promoting learning transfer in science through a complexity approach and computational modeling. [PDF]

Instr Sci, 2023
Saba J, Hel-Or H, Levy ST.
europepmc   +1 more source

Psychometric Properties (Measurement Invariance and Latent Mean Difference across Gender) of the Learning Transfer Inventory System (LTIS) to Assess Thai Teachers' Learning Transfer of COVID-19 Prevention Guidance in the Classroom. [PDF]

Int J Environ Res Public Health, 2022
Celestin BN, Emmanuel T, Christian EE, Ngamsom S, Dorcas KD, Rama A.   +5 more
europepmc   +1 more source

Mobile language app learners’ self-efficacy increases after using generative AI

Frontiers in Education
IntroductionAlthough generative artificial intelligence (AI) is ubiquitous, there is little research on how it supports self-efficacy (learners’ belief that they can perform at a particular level on a specific task).
Audrey K. Kittredge, Elise W. M. Hopman, Ben Reuveni, Danielle Dionne, Cassie Freeman, Xiangying Jiang   +5 more
doaj   +1 more source

Temporal and state abstractions for efficient learning, transfer, and composition in humans. [PDF]

Psychol Rev, 2021
Xia L, Collins AGE.
europepmc   +1 more source

Transfer learning enables predictions in network biology

Nature, 2023
Christina V. Theodoris, Ling Xiao, Anant Chopra, M. Chaffin, Z. A. Al Sayed, M. Hill, Helene Mantineo, Elizabeth M Brydon, Zexian Zeng, X. S. Liu, P. Ellinor   +10 more
semanticscholar   +1 more source

Design and Analysis of Metal Oxides for CO₂ Reduction Using Machine Learning, Transfer Learning, and Bayesian Optimization. [PDF]

ACS Omega, 2022
Iwama R, Takizawa K, Shinmei K, Baba E, Yagihashi N, Kaneko H.   +5 more
europepmc   +1 more source

Factors influencing the learning transfer of nursing students in a non-face-to-face educational environment during the COVID-19 pandemic in Korea: a cross-sectional study using structural equation modeling. [PDF]

J Educ Eval Health Prof, 2023
Kim GM, Kim Y, Kim SK.
europepmc   +1 more source

Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning. [PDF]

Front Artif Intell, 2021
Wilschut T, Sense F, van der Velde M, Fountas Z, Maaß SC, van Rijn H.   +5 more
europepmc   +1 more source

Accelerated HE digitalisation: Exploring staff and student experiences of the COVID-19 rapid online-learning transfer. [PDF]

Educ Inf Technol (Dordr), 2022
Nicklin LL, Wilsdon L, Chadwick D, Rhoden L, Ormerod D, Allen D, Witton G, Lloyd J.   +7 more
europepmc   +1 more source