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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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* *: 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

* 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

* 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

* 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

* 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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FastFusionNet: New State-of-the-Art for DAWNBench SQuAD

Mar 02, 2019
Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger

* A Technical Report 

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Simplifying Graph Convolutional Networks

Feb 19, 2019
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger

* Code available at https://github.com/Tiiiger/SGC 

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Gradient Regularized Budgeted Boosting

Jan 27, 2019
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng


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