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A Survey of Historical Learning: Learning Models with Learning History

A Survey of Historical Learning: Learning Models with Learning History

23 March 2023
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
    MU
    AI4TS
ArXivPDFHTML

Papers citing "A Survey of Historical Learning: Learning Models with Learning History"

16 / 16 papers shown
Title
Meta-Ensemble Parameter Learning
Meta-Ensemble Parameter Learning
Zhengcong Fei
Shuman Tian
Junshi Huang
Xiaoming Wei
Xiaolin K. Wei
OOD
31
2
0
05 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,730
0
04 Mar 2022
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
175
32
0
06 Oct 2021
Contrastive Quantization with Code Memory for Unsupervised Image
  Retrieval
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
Jinpeng Wang
Ziyun Zeng
Bin Chen
Tao Dai
Shutao Xia
MQ
32
45
0
11 Sep 2021
Semi-Supervised Object Detection with Adaptive Class-Rebalancing
  Self-Training
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Fangyuan Zhang
Tianxiang Pan
Bin Wang
26
54
0
11 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
286
5,723
0
29 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
119
202
0
27 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
422
0
17 Feb 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
185
247
0
11 Feb 2021
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
33
60
0
14 Dec 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
167
596
0
12 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng
Wen Li
Yuhua Chen
Lixin Duan
73
280
0
02 Mar 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
191
243
0
14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,279
0
06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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