About
Discord Stateoftheart AI
GitHub

Publications

190

Cited by

32452

Kilian Weinberger

machine learningartificial intelligencemetric learninglearning to rankdeep learning
Cornell University

United States

Papers and Citations

1 - 50
Deep residual learning for image recognition
2017
Kilian Weinberger
L van der Maaten
H Gao
+1
Cited by 55998
Densely connected convolutional networks
2017
Laurens van der Maaten
Zhuang Liu
Kilian Weinberger
+1
Cited by 16365
Distance metric learning for large margin nearest neighbor classification.
2009
Lawrence K Saul
Kilian Weinberger
Cited by 3531
Distance metric learning for large margin nearest neighbor classification
2006
John Blitzer
Kilian Weinberger
Lawrence K Saul
Cited by 2049
From word embeddings to document distances
2015
Kilian Weinberger
Yu Sun
Matt J. Kusner
+1
Cited by 1549
Nonlinear dimensionality reduction
2009
Kilian Weinberger
Cited by 1537
On calibration of modern neural networks
2017
Geoff Pleiss
Yu Sun
Kilian Weinberger
+1
Cited by 1416
Deep networks with stochastic depth
2016
Kilian Weinberger
Yu Sun
Zhuang Liu
+2
Cited by 1219
Unsupervised learning of image manifolds by semidefinite programming
2004
Lawrence K Saul
Kilian Weinberger
Cited by 1064
Compressing neural networks with the hashing trick
2015
Yixin Chen
Kilian Weinberger
Wenlin Chen
+2
Cited by 967
Feature hashing for large scale multitask learning
2009
Kilian Weinberger
Anirban Dasgupta
Alex Smola
+2
Cited by 795
Marginalized denoising autoencoders for domain adaptation
2012
Minmin Chen
Fei Sha
Kilian Weinberger
+1
Cited by 760
Learning a kernel matrix for nonlinear dimensionality reduction
2004
Lawrence K Saul
Kilian Weinberger
Fei Sha
Cited by 535
Simplifying graph convolutional networks
2019
Amauri Holanda de Souza Jr
Felix Wu
Tao Yu
+6
Cited by 479
Condensenet: An efficient densenet using learned group convolutions
2018
Kilian Weinberger
Laurens van der Maaten
Shichen Liu
+1
Cited by 435
Bertscore: Evaluating text generation with bert
2020
Felix Wu
Yoav Artzi
Tianyi Zhang
+3
Cited by 391
Co-training for domain adaptation
2011
Kilian Weinberger
Minmin Chen
John Blitzer
Cited by 341
Fast solvers and efficient implementations for distance metric learning
2008
Lawrence K Saul
Kilian Weinberger
Cited by 326
On fairness and calibration
2017
Jon Kleinberg
Geoff Pleiss
Kilian Weinberger
+2
Cited by 321
Large margin multi-task metric learning
2010
Kilian Weinberger
Shibin Parameswaran
Cited by 315
Snapshot ensembles: Train 1, get m for free
2017
Zhuang Liu
Geoff Pleiss
Kilian Weinberger
+3
Cited by 309
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
2006
Lawrence K Saul
Kilian Weinberger
Cited by 308
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
2019
bharath hariharan
Wei-Lun (Harry) Chao
Yan Wang
+3
Cited by 282
Multi-scale dense networks for resource efficient image classification
2017
Laurens van der Maaten
Danlu Chen
Kilian Weinberger
+3
Cited by 246
Multi-scale dense convolutional networks for efficient prediction
2017
Gao Huang （黄高）
Danlu Chen
Kilian Weinberger
+3
Cited by 240
Non-linear metric learning
2012
Fei Sha
Kilian Weinberger
Stephen Tyree
+2
Cited by 236
Understanding batch normalization
2018
Bart Selman
Kilian Weinberger
Johan Bjorck
+1
Cited by 222
Fast image tagging
2013
Minmin Chen
Kilian Weinberger
A Zheng
Cited by 215
Adversarial deep averaging networks for cross-lingual sentiment classification
2018
Ben Athiwaratkun
Yu Sun
Xilun Chen
+2
Cited by 206
Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke
2016
Abraham Z. Snyder
Joshua S Siegel
Ravi Chacko
+3
Cited by 198
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.
2005
Kilian Weinberger
Lawrence K Saul
Ben Packer
Cited by 197
Bayesian Optimization with Inequality Constraints.
2014
John Cunningham
Kilian Weinberger
Matt J. Kusner
+2
Cited by 196
Resolving tag ambiguity
2008
Roelof van Zwol
Malcolm Slaney
Kilian Weinberger
Cited by 178
Resource aware person re-identification across multiple resolutions
2018
bharath hariharan
Xu Zou
Yurong You
+6
Cited by 176
Learning with marginalized corrupted features
2013
Stephen Tyree
Kilian Weinberger
Minmin Chen
+1
Cited by 175
Stochastic triplet embedding
2012
Laurens van der Maaten
Kilian Weinberger
Cited by 162
Web-search ranking with initialized gradient boosted regression trees
2011
Kilian Weinberger
Zheng Chen
A Mohan
Cited by 151
Parallel boosted regression trees for web search ranking
2011
Stephen Tyree
Kunal Agrawal
Kilian Weinberger
+1
Cited by 147
Supervised word mover's distance
2016
Yu Sun
Kilian Weinberger
Fei Sha
+3
Cited by 146
Metric learning for kernel regression
2007
Gerald Tesauro
Kilian Weinberger
Cited by 144
Marginalized denoising auto-encoders for nonlinear representations
2014
Kilian Weinberger
Fei Sha
Yoshua Bengio
+1
Cited by 136
Learning to rank with (a lot of) word features
2010
Kilian Weinberger
David Grangier
Yanjun Qi
+5
Cited by 131
Simple black-box adversarial attacks
2019
Chuan Guo
Yurong You
Andrew Gordon Wilson
+2
Cited by 126
An empirical study on evaluation metrics of generative adversarial networks
2018
Yang Yuan
Yu Sun
Kilian Weinberger
+4
Cited by 124
Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration
2018
Jacob Gardner
Geoff Pleiss
Kilian Weinberger
+2
Cited by 120
Graphical Models for Inference with Missing Data
2013
Kilian Weinberger
Zoubin Ghahramani
L Bottou
+2
Cited by 118
The greedy miser: Learning under test-time budgets
2012
Olivier Chapelle
Kilian Weinberger
Z Xu
Cited by 116
Learning a metric for music similarity
2008
Kilian Weinberger
Malcolm Slaney
W White
Cited by 111
Cost-sensitive tree of classifiers
2013
Minmin Chen
Matt J. Kusner
Kilian Weinberger
+1
Cited by 107
Multi-task learning for boosting with application to web search ranking
2010
Belle Tseng
Olivier Chapelle
Kilian Weinberger
+3
Cited by 107