Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

7 Results

<<   <   Page 1 of 1   >>   >
Workshop
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Patrick Emedom-Nnamdi · Abram Friesen · Bobak Shahriari · Matthew Hoffman · Nando de Freitas
Poster
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
Kaidi Cao · Jiaxuan You · Jiaju Liu · Jure Leskovec
Poster
Tue 2:30 Interpretations of Domain Adaptations via Layer Variational Analysis
Huan-Hsin Tseng · Hsin-Yi Lin · Kuo-Hsuan Hung · Yu Tsao
Poster
Mon 7:30 Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
Martijn Oldenhof · Adam Arany · Yves Moreau · Edward De Brouwer
Poster
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer · Ankit Singh Rawat · Seungyeon Kim · Chong You · Himanshu Jain · Andreas Veit · Rob Fergus · Sanjiv Kumar
Poster
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
XIANGYU PENG · Chen Xing · Prafulla Kumar Choubey · Chien-Sheng Wu · Caiming Xiong