Weinberger, Kilian

21 publications

ECCV 2024 Denoising Vision Transformers Jiawei Yang, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Weinberger, Yonglong Tian, Yue Wang

ICML 2021 Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P Gomes, Kilian Weinberger

ICML 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens Van Der Maaten, Kilian Weinberger

ICML 2019 Simple Black-Box Adversarial Attacks Chuan Guo, Jacob Gardner, Yurong You, Andrew Gordon Wilson, Kilian Weinberger

ICML 2019 Simplifying Graph Convolutional Networks Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Weinberger

ICML 2018 Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss, Jacob Gardner, Kilian Weinberger, Andrew Gordon Wilson

ICLR 2018 Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Weinberger

CVPR 2017 Deep Feature Interpolation for Image Content Changes Paul Upchurch, Jacob Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Weinberger

ICML 2015 Compressing Neural Networks with the Hashing Trick Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, Yixin Chen

ICML 2015 Differentially Private Bayesian Optimization Matt Kusner, Jacob Gardner, Roman Garnett, Kilian Weinberger

ICML 2015 From Word Embeddings to Document Distances Matt Kusner, Yu Sun, Nicholas Kolkin, Kilian Weinberger

ICML 2014 Bayesian Optimization with Inequality Constraints Jacob Gardner, Matt Kusner, Zhixiang, Kilian Weinberger, John Cunningham

ICML 2014 Marginalized Denoising Auto-Encoders for Nonlinear Representations Minmin Chen, Kilian Weinberger, Fei Sha, Yoshua Bengio

ICML 2014 Stochastic Neighbor Compression Matt Kusner, Stephen Tyree, Kilian Weinberger, Kunal Agrawal

ICML 2013 Anytime Representation Learning Zhixiang Xu, Matt Kusner, Gao Huang, Kilian Weinberger

ICML 2013 Cost-Sensitive Tree of Classifiers Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen

ICML 2013 Fast Image Tagging Minmin Chen, Alice Zheng, Kilian Weinberger

ICML 2013 Learning with Marginalized Corrupted Features Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger

ICML 2013 Maximum Variance Correction with Application to A* Search Wenlin Chen, Kilian Weinberger, Yixin Chen

AISTATS 2012 Classifier Cascade for Minimizing Feature Evaluation Cost Minmin Chen, Zhixiang Xu, Kilian Weinberger, Olivier Chapelle, Dor Kedem

AISTATS 2005 Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization Kilian Weinberger, Benjamin Packer, Lawrence Saul