Awesome Long-Tailed Learning
This repo pays specially attention to the long-tailed distribution, where labels follow a long-tailed or power-law distribution in the training dataset or/and test dataset. Related papers are sumarized, including its application in computer vision, in particular image classification, and extreme multi-label learning (XML), in particular text categorization.
Type of Long-Tailed Learning Methods
Type
TST
IS
CBS
CLW
NC
ENS
DA
Meaning
Two-Stage Training
Instance Sampling
Class-Balanced Sampling
Class-Level Weighting
Normalized Classifier
Ensemble
Data Augmentation
Long-Tailed Learning Workshops
Long-Tailed Regression Papers
Long-Tailed Classification Papers
Long-Tailed Semi-Supervised Learning Papers
Long-Tailed Learning with Noisy Labels Papers
Long-Tailed Federated Learning Papers
eXtreme Multi-label Learning for Information Retrieval
Year
Venue
Title
Remark
2021
KDD
Extreme Multi-label Learning for Semantic Matching in Product Search
by Amazon, code
2020
arXiv
Probabilistic Label Trees for Extreme Multi-label Classification
PLT survey, code
2020
arXiv
Online probabilistic label trees
2020
AISTATS
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
Instance tree,c++ code
2019
NeurIPS
AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Label tree
2019
arXiv
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification
Label tree
2018
ICML
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
Instance tree
2018
WWW
Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
Label tree...by Manik Varma
2016
ICML
Extreme F-Measure Maximization using Sparse Probability Estimates
Label tree
2016
KDD
Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications
Instance tree
2014
KDD
A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
Instance tree, python implementation
2013
ICML
Label Partitioning For Sublinear Ranking
Label tree
2013
WWW
Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
Instance tree, Random Forest, Gini Index
2011
NeurIPS
Efficient label tree learning for large scale object recognition
Label tree, multi-class
2010
NeurIPS
Label embedding trees for large multi-class tasks
Label tree, multi-class
2008
ECML Workshop
Effective and Efficient Multilabel Classification in Domains with Large Number of Labels
Label tree
Long-tailed Continual Learning
https://arxiv.org/pdf/1901.00248.pdf
http://www.iith.ac.in/~saketha/research/AkshatMTP2018.pdf
http://manikvarma.org/pubs/bengio19.pdf
The Emerging Trends of Multi-Label Learning
Extreme Classification Workshops link