Kilian Q. Weinberger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
98
Venues
19
Active years
2004–2026
Best venue rank
A*
Where they publish
Papers
98 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting. | Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le |
| 2025 | CVPR | Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. | Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2025 | EMNLP | Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations. | Jin Peng Zhou, Sbastien M. R. Arnold, Nan Ding, Kilian Q. Weinberger, Nan Hua, Fei Sha |
| 2025 | ICCV | Improving Multislice Electron Ptychography with a Generative Prior. | Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes |
| 2025 | ICCV | Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. | Katie Z. Luo, Minh-Quan Dao, Zhenzhen Liu, Mark E. Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Frmont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez |
| 2025 | ICLR | Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond. | Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger |
| 2025 | ICLR | Learning 3D Perception from Others' Predictions. | Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2025 | ICLR | On Speeding Up Language Model Evaluation. | Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger |
| 2025 | ICML | PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation. | Albert Gong, Kamile Stankeviciute, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, Kilian Q. Weinberger |
| 2024 | ACL | Diffusion Guided Language Modeling. | Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger |
| 2024 | ECCV | Denoising Vision Transformers. | Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang |
| 2024 | ICLR | Pre-training LiDAR-based 3D Object Detectors through Colorization. | Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao |
| 2024 | ICLR | Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. | Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu |
| 2024 | ICRA | Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. | Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone |
| 2024 | Interspeech | Sample-Efficient Diffusion for Text-To-Speech Synthesis. | Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu |
| 2024 | ICRA | Better Monocular 3D Detectors with LiDAR from the Past. | Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger |
| 2024 | NAACL | Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. | Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein |
| 2023 | AISTATS | Does Label Differential Privacy Prevent Label Inference Attacks? | Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo |
| 2023 | ICASSP | Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. | Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi |
| 2023 | ICLR | Learning Iterative Neural Optimizers for Image Steganography. | Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger |
| 2023 | ICML | IncDSI: Incrementally Updatable Document Retrieval. | Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger |
| 2023 | ICML | Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. | Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger |
| 2023 | ICML | On the Effectiveness of Offline RL for Dialogue Response Generation. | Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald |
| 2023 | ICRA | Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. | Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell |
| 2023 | UAI | Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. | Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger |
| 2022 | CVPR | Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. | Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell |
| 2022 | CVPR | Learning to Detect Mobile Objects from LiDAR Scans Without Labels. | Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | ICASSP | Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition. | Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi |
| 2022 | ICLR | Is High Variance Unavoidable in RL? A Case Study in Continuous Control. | Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger |
| 2022 | ICLR | Fixed Neural Network Steganography: Train the images, not the network. | Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger |
| 2022 | ICLR | Language-driven Semantic Segmentation. | Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, Ren Ranftl |
| 2022 | ICLR | Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. | Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | ICRA | Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. | Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | NAACL | Long-term Control for Dialogue Generation: Methods and Evaluation. | Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan McDonald |
| 2022 | UAI | Differentially private multi-party data release for linear regression. | Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang |
| 2021 | AAAI | Characterizing the Loss Landscape in Non-Negative Matrix Factorization. | Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes |
| 2021 | AAAI | Understanding Decoupled and Early Weight Decay. | Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes |
| 2021 | CVPR | On Feature Normalization and Data Augmentation. | Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger |
| 2021 | ICCV | Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. | Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim |
| 2021 | ICLR | Revisiting Few-sample BERT Fine-tuning. | Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi |
| 2021 | ICML | Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. | Johan Bjrck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger |
| 2021 | ICML | Making Paper Reviewing Robust to Bid Manipulation Attacks. | Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger |
| 2020 | CVPR | End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. | Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao |
| 2020 | CVPR | Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. | Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao |
| 2020 | ICLR | Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. | Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2020 | ICLR | BERTScore: Evaluating Text Generation with BERT. | Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi |
| 2019 | CVPR | Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. | Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2019 | ICML | Simple Black-box Adversarial Attacks. | Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger |
| 2019 | ICML | Simplifying Graph Convolutional Networks. | Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger |
| 2019 | ICRA | Anytime Stereo Image Depth Estimation on Mobile Devices. | Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger |
| 2019 | UAI | Low Frequency Adversarial Perturbation. | Chuan Guo, Jared S. Frank, Kilian Q. Weinberger |
| 2018 | AISTATS | Product Kernel Interpolation for Scalable Gaussian Processes. | Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson |
| 2018 | CVPR | CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. | Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2018 | CVPR | Resource Aware Person Re-Identification Across Multiple Resolutions. | Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger |
| 2018 | ICLR | Multi-Scale Dense Networks for Resource Efficient Image Classification. | Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2018 | ICML | Constant-Time Predictive Distributions for Gaussian Processes. | Geoff Pleiss, Jacob R. Gardner, Kilian Q. Weinberger, Andrew Gordon Wilson |
| 2017 | AISTATS | Discovering and Exploiting Additive Structure for Bayesian Optimization. | Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse |
| 2017 | CVPR | Densely Connected Convolutional Networks. | Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | CVPR | Deep Feature Interpolation for Image Content Changes. | Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger |
| 2017 | ICLR | Snapshot Ensembles: Train 1, Get M for Free. | Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger |
| 2017 | ICML | On Calibration of Modern Neural Networks. | Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger |
| 2016 | AISTATS | Private Causal Inference. | Matt J. Kusner, Yu Sun, Karthik Sridharan, Kilian Q. Weinberger |
| 2016 | ECCV | Deep Networks with Stochastic Depth. | Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger |
| 2016 | KDD | Compressing Convolutional Neural Networks in the Frequency Domain. | Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2015 | AAAI | Marginalized Denoising for Link Prediction and Multi-Label Learning. | Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Weixiong Zhang |
| 2015 | AAAI | A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. | Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen |
| 2015 | AISTATS | Filtered Search for Submodular Maximization with Controllable Approximation Bounds. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger |
| 2015 | ICML | Compressing Neural Networks with the Hashing Trick. | Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2015 | ICML | Differentially Private Bayesian Optimization. | Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger |
| 2015 | ICML | From Word Embeddings To Document Distances. | Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger |
| 2015 | UAI | Psychophysical Detection Testing with Bayesian Active Learning. | Jacob R. Gardner, Xinyu Song, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham |
| 2014 | AAAI | Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. | Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen |
| 2014 | ICML | Marginalized Denoising Auto-encoders for Nonlinear Representations. | Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio |
| 2014 | ICML | Bayesian Optimization with Inequality Constraints. | Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham |
| 2014 | ICML | Stochastic Neighbor Compression. | Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal |
| 2014 | KDD | Fast flux discriminant for large-scale sparse nonlinear classification. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger |
| 2014 | KDD | Gradient boosted feature selection. | Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng |
| 2013 | AAAI | Goal-Oriented Euclidean Heuristics with Manifold Learning. | Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen |
| 2013 | AAAI | Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. | Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen |
| 2013 | ICML | Maximum Variance Correction with Application to A* Search. | Wenlin Chen, Kilian Q. Weinberger, Yixin Chen |
| 2013 | ICML | Fast Image Tagging. | Minmin Chen, Alice X. Zheng, Kilian Q. Weinberger |
| 2013 | ICML | Learning with Marginalized Corrupted Features. | Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger |
| 2013 | ICML | Anytime Representation Learning. | Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger |
| 2013 | ICML | Cost-Sensitive Tree of Classifiers. | Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen |
| 2012 | CIKM | From sBoW to dCoT marginalized encoders for text representation. | Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha |
| 2012 | ICML | Marginalized Denoising Autoencoders for Domain Adaptation. | Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha |
| 2012 | ICML | The Greedy Miser: Learning under Test-time Budgets. | Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle |
| 2011 | ICML | Automatic Feature Decomposition for Single View Co-training. | Minmin Chen, Kilian Q. Weinberger, Yixin Chen |
| 2011 | WWW | Parallel boosted regression trees for web search ranking. | Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin |
| 2010 | KDD | Multi-task learning for boosting with application to web search ranking. | Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng |
| 2009 | CIKM | Supervised semantic indexing. | Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger |
| 2009 | ICML | Feature hashing for large scale multitask learning. | Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg |
| 2008 | ICML | Fast solvers and efficient implementations for distance metric learning. | Kilian Q. Weinberger, Lawrence K. Saul |
| 2008 | ICMLA | Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. | Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul |
| 2006 | AAAI | An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. | Kilian Q. Weinberger, Lawrence K. Saul |
| 2005 | AISTATS | Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization. | Kilian Q. Weinberger, Benjamin Packer, Lawrence K. Saul |
| 2004 | CVPR | Unsupervised Learning of Image Manifolds by Semidefinite Programming. | Kilian Q. Weinberger, Lawrence K. Saul |
| 2004 | ICML | Learning a kernel matrix for nonlinear dimensionality reduction. | Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul |