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Incremental Few-Shot Learning via Implanting and Compressing

Incremental Few-Shot Learning via Implanting and Compressing

19 March 2022
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
    CLL
    VLM
ArXivPDFHTML

Papers citing "Incremental Few-Shot Learning via Implanting and Compressing"

6 / 6 papers shown
Title
Masked Self-Supervision for Remaining Useful Lifetime Prediction in
  Machine Tools
Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools
Haoren Guo
H. Zhu
Jiahui Wang
P. Vadakkepat
W. Ho
T. Lee
26
12
0
04 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning
Jiahui Wang
H. Zhu
Haoren Guo
Abdullah Al Mamun
V. Prahlad
T. Lee
3DPC
19
4
0
04 Jul 2022
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
48
98
0
04 May 2021
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
151
440
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
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