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Kilian Q. Weinberger

Online Adaptation to Label Distribution Shift


Jul 09, 2021
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger

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Towards Deeper Deep Reinforcement Learning


Jun 02, 2021
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger

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Low-Precision Reinforcement Learning


Feb 26, 2021
Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger

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Making Paper Reviewing Robust to Bid Manipulation Attacks


Feb 22, 2021
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger

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Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data


Nov 06, 2020
Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim

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* 7 pages, 4 figures + 13 pages of supplemental material 
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MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation


Jul 24, 2020
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim

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Wasserstein Distances for Stereo Disparity Estimation


Jul 06, 2020
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

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Revisiting Few-sample BERT Fine-tuning


Jul 02, 2020
Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi

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* Code available at https://github.com/asappresearch/revisit-bert-finetuning 
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Train in Germany, Test in The USA: Making 3D Object Detectors Generalize


May 17, 2020
Yan Wang, Xiangyu Chen, Yurong You, Li Erran, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

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* Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020) 
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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection


Apr 07, 2020
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

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* Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020) 
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On Feature Normalization and Data Augmentation


Mar 06, 2020
Boyi Li, Felix Wu, Ser-Nam Lim, Serge Belongie, Kilian Q. Weinberger

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* Code is available at https://github.com/Boyiliee/MoEx 
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TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks


Feb 24, 2020
Chuan Guo, Ruihan Wu, Kilian Q. Weinberger

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Revisiting Meta-Learning as Supervised Learning


Feb 03, 2020
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark Campbell, Kilian Q. Weinberger

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* An extended version of the paper titled "A Meta Understanding of Meta-Learning" presented in ICML 2019 Workshop on Adaptive and Multitask Learning: Algorithms & Systems 
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Identifying Mislabeled Data using the Area Under the Margin Ranking


Jan 29, 2020
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger

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Convolutional Networks with Dense Connectivity


Jan 08, 2020
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger

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* Journal(PAMI) version of DenseNet(CVPR'17) 
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SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning


Nov 16, 2019
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images


Oct 30, 2019
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

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* Accepted for publication in IEEE Robotics and Automation Letters with presentation at IROS 2019 
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A New Defense Against Adversarial Images: Turning a Weakness into a Strength


Oct 16, 2019
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger

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* *: Equal Contribution, 14 pages 
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Integrated Triaging for Fast Reading Comprehension


Sep 28, 2019
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger

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* Technical report 
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Positional Normalization


Jul 09, 2019
Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge Belongie

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Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving


Jun 14, 2019
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger

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Simple Black-box Adversarial Attacks


May 17, 2019
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger

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* Published at ICML 2019 
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BERTScore: Evaluating Text Generation with BERT


Apr 21, 2019
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi

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* Code available at https://github.com/Tiiiger/bert_score 
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AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets


Apr 17, 2019
Xiaosen Wang, Kun He, Chuan Guo, Kilian Q. Weinberger, John E. Hopcroft

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* We want to withdraw as the current version is not comfirmed by all authors. We will later on submit an improved version with all authors' approval 
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Exact Gaussian Processes on a Million Data Points


Mar 19, 2019
Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson

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