惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

V
Visual Studio Blog
MongoDB | Blog
MongoDB | Blog
Engineering at Meta
Engineering at Meta
云风的 BLOG
云风的 BLOG
Microsoft Azure Blog
Microsoft Azure Blog
B
Blog RSS Feed
T
The Exploit Database - CXSecurity.com
P
Privacy & Cybersecurity Law Blog
Know Your Adversary
Know Your Adversary
月光博客
月光博客
I
InfoQ
阮一峰的网络日志
阮一峰的网络日志
NISL@THU
NISL@THU
爱范儿
爱范儿
S
Securelist
博
博客园 - 叶小钗
C
CERT Recently Published Vulnerability Notes
Recorded Future
Recorded Future
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
aimingoo的专栏
aimingoo的专栏
D
DataBreaches.Net
G
GRAHAM CLULEY
P
Proofpoint News Feed
A
About on SuperTechFans
Google DeepMind News
Google DeepMind News
C
Cyber Attacks, Cyber Crime and Cyber Security
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Tor Project blog
Stack Overflow Blog
Stack Overflow Blog
T
Threat Research - Cisco Blogs
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
T
Tailwind CSS Blog
有赞技术团队
有赞技术团队
Hugging Face - Blog
Hugging Face - Blog
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
Recent Announcements
Recent Announcements
P
Proofpoint News Feed
The GitHub Blog
The GitHub Blog
The Cloudflare Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Last Week in AI
Last Week in AI
Y
Y Combinator Blog
Jina AI
Jina AI
大猫的无限游戏
大猫的无限游戏
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
罗
罗磊的独立博客
博
博客园 - 【当耐特】
H
Help Net Security
F
Fortinet All Blogs
T
The Blog of Author Tim Ferriss

Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

[edit]

Volume 27: Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 02 July 2011, Bellevue, Washington, USA

[edit]

Editors: Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor, Daniel Silver

[bib][citeproc]

Contents:

  • Introduction
  • Fundamentals and theory
  • Challenge contributions
  • Advances in transfer learning

Filter Authors: Filter Titles:

Introduction

ICML2011 Unsupervised and Transfer Learning Workshop

; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:1-15

[abs][Download PDF]

Fundamentals and theory

Deep Learning of Representations for Unsupervised and Transfer Learning

Yoshua Bengio; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:17-36

[abs][Download PDF]

Autoencoders, Unsupervised Learning, and Deep Architectures

Pierre Baldi; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:37-49

[abs][Download PDF]

Information Theoretic Model Selection for Pattern Analysis

Joachim M. Buhmann, Morteza H. Chehreghani, Mario Frank, Andreas P. Streich; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:51-64

[abs][Download PDF]

Clustering: Science or Art?

Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:65-79

[abs][Download PDF]

Challenge contributions

Transfer Learning by Kernel Meta-Learning

Fabio Aiolli; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:81-95

[abs][Download PDF]

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron Courville, James Bergstra; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:97-110

[abs][Download PDF]

Stochastic Unsupervised Learning on Unlabeled Data

Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:111-122

[abs][Download PDF]

Advances in transfer learning

Transfer Learning with Cluster Ensembles

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:123-132

[abs][Download PDF]

Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism

Si-Chi Chin, W. Nick Street; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:133-144

[abs][Download PDF]

Self-measuring Similarity for Multi-task Gaussian Process

Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:145-153

[abs][Download PDF]

Transfer Learning for Auto-gating of Flow Cytometry Data

Gyemin Lee, Lloyd Stoolman, Clayton Scott; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:155-165

[abs][Download PDF]

Inductive Transfer for Bayesian Network Structure Learning

Alexandru Niculescu-Mizil, Rich Caruana; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:167-180

[abs][Download PDF]

Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates

Vladimir Nikulin, Tian-Hsiang Huang; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:181-194

[abs][Download PDF]

One-Shot Learning with a Hierarchical Nonparametric Bayesian Model

Ruslan Salakhutdinov, Joshua Tenenbaum, Antonio Torralba; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:195-206

[abs][Download PDF]

Multitask Learning in Computational Biology

Christian Widmer, Gunnar Rätsch; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:207-216

[abs][Download PDF]

Transfer Learning in Sequential Decision Problems: A Hierarchical Bayesian Approach

Aaron Wilson, Alan Fern, Prasad Tadepalli; Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR 27:217-227

[abs][Download PDF]

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。