Kilian Q. Weinberger

271 papers A* 82A 15C 1Misc 2Journal 129Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling. CoRR Christian K. Belardi, Justin Lovelace, Kilian Q. Weinberger, Carla P. Gomes
2026	J	`jnl`	Learning from Synthetic Data Improves Multi-hop Reasoning. CoRR Anmol Kabra, Yilun Yin, Albert Gong, Kamile Stankeviciute, Dongyoung Go, Johann Lee, Katie Z. Luo, Carla P. Gomes, Kilian Q. Weinberger
2026	J	`jnl`	On the Feasibility and Opportunity of Autoregressive 3D Object Detection. CoRR Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao, Katie Z. Luo
2026	J	`jnl`	Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning. CoRR Justin Lovelace, Christian K. Belardi, Sofian Zalouk, Adhitya Polavaram, Srivatsa Kundurthy, Kilian Q. Weinberger
2025	J	`jnl`	Benchmark Datasets for Lead-Lag Forecasting on Social Platforms. CoRR Kimia Kazemian, Zhenzhen Liu, Yangfanyu Yang, Katie Z. Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q. Weinberger, John Thickstun, Yian Yin, Sarah Dean
2025	A*	`conf`	Graders Should Cheat: Privileged Information Enables Expert-Level Automated Evaluations. EMNLP Jin Peng Zhou, Sébastien M. R. Arnold, Nan Ding, Kilian Q. Weinberger, Nan Hua, Fei Sha
2025	J	`jnl`	Graders should cheat: privileged information enables expert-level automated evaluations. CoRR Jin Peng Zhou, Sébastien M. R. Arnold, Nan Ding, Kilian Q. Weinberger, Nan Hua, Fei Sha
2025	—	`conf`	INPROVF: Leveraging Large Language Models to Repair High-level Robot Controllers from Assumption Violations. CASE Qian Meng, Jin Peng Zhou, Kilian Q. Weinberger, Hadas Kress-Gazit
2025	J	`jnl`	INPROVF: Leveraging Large Language Models to Repair High-level Robot Controllers from Assumption Violations. CoRR Qian Meng, Jin Peng Zhou, Kilian Q. Weinberger, Hadas Kress-Gazit
2025	—	`conf`	Improving Multislice Electron Ptychography with a Generative Prior. ICCVW Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025	J	`jnl`	Improving Multislice Electron Ptychography with a Generative Prior. CoRR Christian K. Belardi, Chia-Hao Lee, Yingheng Wang, Justin Lovelace, Kilian Q. Weinberger, David A. Muller, Carla P. Gomes
2025	A*	`conf`	Learning 3D Perception from Others' Predictions. ICLR 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	J	`jnl`	Learning to decode logical circuits. Nat. Comput. Sci. Yiqing Zhou, Chao Wan, Yichen Xu, Jin Peng Zhou, Kilian Q. Weinberger, Eun-Ah Kim
2025	J	`jnl`	Memento: Note-Taking for Your Future Self. CoRR Chao Wan, Albert Gong, Mihir Mishra, Carl-Leander Henneking, Claas Beger, Kilian Q. Weinberger
2025	J	`jnl`	Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. CoRR Katie Z. Luo, Minh-Quan Dao, Zhenzhen Liu, Mark E. Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Frémont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez
2025	A*	`conf`	On Speeding Up Language Model Evaluation. ICLR Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger
2025	A*	`conf`	PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation. ICML Albert Gong, Kamile Stankeviciute, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, Kilian Q. Weinberger
2025	J	`jnl`	PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation. CoRR Albert Gong, Kamile Stankeviciute, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, Kilian Q. Weinberger
2025	J	`jnl`	Pre-training Large Memory Language Models with Internal and External Knowledge. CoRR Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun
2025	J	`jnl`	Q♯: Provably Optimal Distributional RL for LLM Post-Training. CoRR Jin Peng Zhou, Kaiwen Wang, Jonathan D. Chang, Zhaolin Gao, Nathan Kallus, Kilian Q. Weinberger, Kianté Brantley, Wen Sun
2025	A*	`conf`	Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond. ICLR Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger
2025	J	`jnl`	Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond. CoRR Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q. Weinberger
2025	J	`jnl`	SpeechOp: Inference-Time Task Composition for Generative Speech Processing. CoRR Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q. Weinberger, Zeyu Jin
2025	A*	`conf`	Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. CVPR Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025	J	`jnl`	Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. CoRR Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2024	A*	`conf`	Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. ICRA Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone
2024	A*	`conf`	Better Monocular 3D Detectors with LiDAR from the Past. ICRA Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	Better Monocular 3D Detectors with LiDAR from the Past. CoRR Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	—	`conf`	Denoising Vision Transformers. ECCV (85) Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang
2024	J	`jnl`	Denoising Vision Transformers. CoRR Jiawei Yang, Katie Z. Luo, Jiefeng Li, Kilian Q. Weinberger, Yonglong Tian, Yue Wang
2024	A*	`conf`	DiffuBox: Refining 3D Object Detection with Point Diffusion. NeurIPS Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	—	`conf`	Diffusion Guided Language Modeling. ACL (Findings) Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2024	J	`jnl`	Diffusion Guided Language Modeling. CoRR Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
2024	A*	`conf`	Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. ICLR Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu
2024	J	`jnl`	Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. CoRR Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu
2024	J	`jnl`	Learning 3D Perception from Others' Predictions. CoRR 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
2024	J	`jnl`	Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold. Frontiers Artif. Intell. Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger
2024	J	`jnl`	On Speeding Up Language Model Evaluation. CoRR Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger
2024	A*	`conf`	Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. NeurIPS Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger
2024	J	`jnl`	Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. CoRR Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger
2024	J	`jnl`	Orchestrating LLMs with Different Personalizations. CoRR Jin Peng Zhou, Katie Z. Luo, Jingwen Gu, Jason Yuan, Kilian Q. Weinberger, Wen Sun
2024	A*	`conf`	Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR 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	—	`conf`	Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. NAACL-HLT (Findings) Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
2024	A	`conf`	Sample-Efficient Diffusion for Text-To-Speech Synthesis. INTERSPEECH Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu
2024	J	`jnl`	Sample-Efficient Diffusion for Text-To-Speech Synthesis. CoRR Justin Lovelace, Soham Ray, Kwangyoun Kim, Kilian Q. Weinberger, Felix Wu
2024	J	`jnl`	Zero-shot Object-Level OOD Detection with Context-Aware Inpainting. CoRR Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le
2023	J	`jnl`	Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. CoRR Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone
2023	J	`jnl`	Correction with Backtracking Reduces Hallucination in Summarization. CoRR Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger
2023	A	`conf`	Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
2023	A*	`conf`	Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. ICRA Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2023	A*	`conf`	IncDSI: Incrementally Updatable Document Retrieval. ICML Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023	J	`jnl`	IncDSI: Incrementally Updatable Document Retrieval. CoRR Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
2023	A*	`conf`	Latent Diffusion for Language Generation. NeurIPS Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2023	A*	`conf`	Learning Iterative Neural Optimizers for Image Steganography. ICLR Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2023	J	`jnl`	Learning Iterative Neural Optimizers for Image Steganography. CoRR Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
2023	A	`conf`	Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. UAI Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
2023	A*	`conf`	On the Effectiveness of Offline RL for Dialogue Response Generation. ICML Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
2023	J	`jnl`	On the Effectiveness of Offline RL for Dialogue Response Generation. CoRR Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
2023	J	`jnl`	Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2023	A*	`conf`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	J	`jnl`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	—	`conf`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	A*	`conf`	Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. ICML Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. CoRR Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger
2023	Misc	`conf`	Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. ICASSP Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi
2022	J	`jnl`	Convolutional Networks with Dense Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
2022	J	`jnl`	Differentially Private Multi-Party Data Release for Linear Regression. CoRR Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	A	`conf`	Differentially private multi-party data release for linear regression. UAI Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
2022	J	`jnl`	Does Label Differential Privacy Prevent Label Inference Attacks? CoRR Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
2022	J	`jnl`	Does unsupervised grammar induction need pixels? CoRR Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
2022	A*	`conf`	Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. ICRA Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	A*	`conf`	Fixed Neural Network Steganography: Train the images, not the network. ICLR Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger
2022	A*	`conf`	Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. ICLR Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. CoRR Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. CoRR Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
2022	A*	`conf`	Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
2022	A*	`conf`	Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR 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	J	`jnl`	Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CoRR 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 Campbell
2022	A*	`conf`	Language-driven Semantic Segmentation. ICLR Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022	J	`jnl`	Language-driven Semantic Segmentation. CoRR Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022	J	`jnl`	Latent Diffusion for Language Generation. CoRR Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
2022	A*	`conf`	Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. CoRR Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
2022	—	`conf`	Long-term Control for Dialogue Generation: Methods and Evaluation. NAACL-HLT Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan McDonald
2022	J	`jnl`	Long-term Control for Dialogue Generation: Methods and Evaluation. CoRR Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan McDonald
2022	Misc	`conf`	Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition. ICASSP Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi
2022	A*	`conf`	Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. NeurIPS Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. CoRR Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi
2021	A*	`conf`	Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes
2021	A*	`conf`	Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. ICCV Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2021	J	`jnl`	Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection. CoRR Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2021	J	`jnl`	Is High Variance Unavoidable in RL? A Case Study in Continuous Control. CoRR Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
2021	J	`jnl`	Low-Precision Reinforcement Learning. CoRR Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
2021	A*	`conf`	Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. ICML Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
2021	J	`jnl`	Machine learning discovery of new phases in programmable quantum simulator snapshots. CoRR Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim
2021	A*	`conf`	Making Paper Reviewing Robust to Bid Manipulation Attacks. ICML Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
2021	J	`jnl`	Making Paper Reviewing Robust to Bid Manipulation Attacks. CoRR Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
2021	A*	`conf`	On Feature Normalization and Data Augmentation. CVPR Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
2021	A*	`conf`	Online Adaptation to Label Distribution Shift. NeurIPS Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
2021	J	`jnl`	Online Adaptation to Label Distribution Shift. CoRR Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
2021	J	`jnl`	Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition. CoRR Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Jeong Han, Kilian Q. Weinberger, Yoav Artzi
2021	A*	`conf`	Revisiting Few-sample BERT Fine-tuning. ICLR Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
2021	A*	`conf`	Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
2021	J	`jnl`	Towards Deeper Deep Reinforcement Learning. CoRR Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
2021	A*	`conf`	Understanding Decoupled and Early Weight Decay. AAAI Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
2020	A*	`conf`	BERTScore: Evaluating Text Generation with BERT. ICLR Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
2020	J	`jnl`	Convolutional Networks with Dense Connectivity. CoRR Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
2020	J	`jnl`	Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. CoRR Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim
2020	A*	`conf`	End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CVPR Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	J	`jnl`	End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CoRR Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	A*	`conf`	Identifying Mislabeled Data using the Area Under the Margin Ranking. NeurIPS Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
2020	J	`jnl`	Identifying Mislabeled Data using the Area Under the Margin Ranking. CoRR Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
2020	J	`jnl`	MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2020	J	`jnl`	On Feature Normalization and Data Augmentation. CoRR Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
2020	A*	`conf`	Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. ICLR Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2020	J	`jnl`	Revisiting Few-sample BERT Fine-tuning. CoRR Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
2020	J	`jnl`	Revisiting Meta-Learning as Supervised Learning. CoRR Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
2020	J	`jnl`	Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. CoRR Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	A*	`conf`	Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. CVPR Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	J	`jnl`	TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. CoRR Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
2020	J	`jnl`	Understanding Decoupled and Early Weight Decay. CoRR Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
2020	A*	`conf`	Wasserstein Distances for Stereo Disparity Estimation. NeurIPS Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	J	`jnl`	Wasserstein Distances for Stereo Disparity Estimation. CoRR Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2019	A*	`conf`	A New Defense Against Adversarial Images: Turning a Weakness into a Strength. NeurIPS Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
2019	J	`jnl`	A New Defense Against Adversarial Images: Turning a Weakness into a Strength. CoRR Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
2019	A*	`conf`	Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger
2019	J	`jnl`	BERTScore: Evaluating Text Generation with BERT. CoRR Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
2019	A*	`conf`	Exact Gaussian Processes on a Million Data Points. NeurIPS Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
2019	J	`jnl`	Exact Gaussian Processes on a Million Data Points. CoRR Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson
2019	J	`jnl`	FastFusionNet: New State-of-the-Art for DAWNBench SQuAD. CoRR Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger
2019	J	`jnl`	Gradient Boosted Feature Selection. CoRR Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
2019	J	`jnl`	Gradient Regularized Budgeted Boosting. CoRR Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng
2019	J	`jnl`	Integrated Triaging for Fast Reading Comprehension. CoRR Felix Wu, Boyi Li, Lequn Wang, Ni Lao, John Blitzer, Kilian Q. Weinberger
2019	J	`jnl`	LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. CoRR Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2019	J	`jnl`	LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. IEEE Robotics Autom. Lett. Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
2019	A	`conf`	Low Frequency Adversarial Perturbation. UAI Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
2019	A*	`conf`	Positional Normalization. NeurIPS Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge J. Belongie
2019	J	`jnl`	Positional Normalization. CoRR Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge J. Belongie
2019	A*	`conf`	Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CVPR Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2019	J	`jnl`	Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. CoRR Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2019	A*	`conf`	Simple Black-box Adversarial Attacks. ICML Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger
2019	J	`jnl`	Simple Black-box Adversarial Attacks. CoRR Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger
2019	J	`jnl`	SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning. CoRR Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten
2019	A*	`conf`	Simplifying Graph Convolutional Networks. ICML Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger
2019	J	`jnl`	Simplifying Graph Convolutional Networks. CoRR Felix Wu, Tianyi Zhang, Amauri H. Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger
2019	—	`conf`	Vision-only 3D Tracking for Self-Driving Cars. CASE Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell
2018	J	`jnl`	A Recap of the AAAI and IAAI 2018 Conferences and the EAAI Symposium. AI Mag. Sheila A. McIlraith, Kilian Q. Weinberger, G. Michael Youngblood, Karen L. Myers, Eric Eaton, Michael Wollowski
2018	J	`jnl`	Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. Trans. Assoc. Comput. Linguistics Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger
2018	J	`jnl`	An empirical study on evaluation metrics of generative adversarial networks. CoRR Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger
2018	J	`jnl`	Anytime Stereo Image Depth Estimation on Mobile Devices. CoRR Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger
2018	A*	`conf`	CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. CVPR Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
2018	A*	`conf`	Constant-Time Predictive Distributions for Gaussian Processes. ICML Geoff Pleiss, Jacob R. Gardner, Kilian Q. Weinberger, Andrew Gordon Wilson
2018	J	`jnl`	Constant-Time Predictive Distributions for Gaussian Processes. CoRR Geoff Pleiss, Jacob R. Gardner, Kilian Q. Weinberger, Andrew Gordon Wilson
2018	J	`jnl`	Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking. CoRR Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell
2018	A*	`conf`	GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration. NeurIPS Jacob R. Gardner, Geoff Pleiss, Kilian Q. Weinberger, David Bindel, Andrew Gordon Wilson
2018	J	`jnl`	GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration. CoRR Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger, Andrew Gordon Wilson
2018	J	`jnl`	Low Frequency Adversarial Perturbation. CoRR Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
2018	—	`conf`	Multi-Scale Dense Networks for Resource Efficient Image Classification. ICLR Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2018	A*	`ed.`	Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 AAAI Sheila A. McIlraith, Kilian Q. Weinberger
2018	A	`conf`	Product Kernel Interpolation for Scalable Gaussian Processes. AISTATS Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson
2018	J	`jnl`	Product Kernel Interpolation for Scalable Gaussian Processes. CoRR Jacob R. Gardner, Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, Andrew Gordon Wilson
2018	J	`jnl`	Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CoRR Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
2018	A*	`conf`	Resource Aware Person Re-Identification Across Multiple Resolutions. CVPR Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger
2018	J	`jnl`	Resource Aware Person Re-identification across Multiple Resolutions. CoRR Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger
2018	A*	`conf`	Understanding Batch Normalization. NeurIPS Johan Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger
2017	J	`jnl`	CondenseNet: An Efficient DenseNet using Learned Group Convolutions. CoRR Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
2017	A*	`conf`	Deep Feature Interpolation for Image Content Changes. CVPR Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger
2017	A*	`conf`	Densely Connected Convolutional Networks. CVPR Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger
2017	A	`conf`	Discovering and Exploiting Additive Structure for Bayesian Optimization. AISTATS Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger B. Grosse
2017	J	`jnl`	Fast Reading Comprehension with ConvNets. CoRR Felix Wu, Ni Lao, John Blitzer, Guandao Yang, Kilian Q. Weinberger
2017	J	`jnl`	Memory-Efficient Implementation of DenseNets. CoRR Geoff Pleiss, Danlu Chen, Gao Huang, Tongcheng Li, Laurens van der Maaten, Kilian Q. Weinberger
2017	J	`jnl`	Multi-Scale Dense Convolutional Networks for Efficient Prediction. CoRR Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
2017	A*	`conf`	On Calibration of Modern Neural Networks. ICML Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger
2017	J	`jnl`	On Calibration of Modern Neural Networks. CoRR Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger
2017	—	`conf`	On Fairness and Calibration. NIPS Geoff Pleiss, Manish Raghavan, Felix Wu, Jon M. Kleinberg, Kilian Q. Weinberger
2017	J	`jnl`	On Fairness and Calibration. CoRR Geoff Pleiss, Manish Raghavan, Felix Wu, Jon M. Kleinberg, Kilian Q. Weinberger
2017	—	`conf`	Snapshot Ensembles: Train 1, Get M for Free. ICLR (Poster) Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2017	J	`jnl`	Snapshot Ensembles: Train 1, get M for free. CoRR Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2016	J	`jnl`	Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. CoRR Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Q. Weinberger, Claire Cardie
2016	A*	`conf`	Compressing Convolutional Neural Networks in the Frequency Domain. KDD Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2016	J	`jnl`	Deep Feature Interpolation for Image Content Changes. CoRR Paul Upchurch, Jacob R. Gardner, Kavita Bala, Robert Pless, Noah Snavely, Kilian Q. Weinberger
2016	—	`conf`	Deep Networks with Stochastic Depth. ECCV (4) Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016	J	`jnl`	Deep Networks with Stochastic Depth. CoRR Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016	J	`jnl`	Densely Connected Convolutional Networks. CoRR Gao Huang, Zhuang Liu, Kilian Q. Weinberger
2016	A	`conf`	Private Causal Inference. AISTATS Matt J. Kusner, Yu Sun, Karthik Sridharan, Kilian Q. Weinberger
2016	A*	`ed.`	Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 ICML Maria-Florina Balcan, Kilian Q. Weinberger
2016	—	`conf`	Supervised Word Mover's Distance. NIPS Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger
2015	A*	`conf`	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. AAAI Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen
2015	—	`conf`	Bayesian Active Model Selection with an Application to Automated Audiometry. NIPS Jacob R. Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham
2015	J	`jnl`	Compressed Support Vector Machines. CoRR Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger
2015	J	`jnl`	Compressing Convolutional Neural Networks. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	A*	`conf`	Compressing Neural Networks with the Hashing Trick. ICML Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	J	`jnl`	Compressing Neural Networks with the Hashing Trick. CoRR Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen
2015	J	`jnl`	Deep Manifold Traversal: Changing Labels with Convolutional Features. CoRR Jacob R. Gardner, Matt J. Kusner, Yixuan Li, Paul Upchurch, Kilian Q. Weinberger, John E. Hopcroft
2015	A*	`conf`	Differentially Private Bayesian Optimization. ICML Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger
2015	—	`conf`	Fast Distributed k-Center Clustering with Outliers on Massive Data. NIPS Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger, Benjamin Moseley
2015	A	`conf`	Filtered Search for Submodular Maximization with Controllable Approximation Bounds. AISTATS Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
2015	A*	`conf`	From Word Embeddings To Document Distances. ICML Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger
2015	A*	`conf`	Marginalized Denoising for Link Prediction and Multi-Label Learning. AAAI Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Weixiong Zhang
2015	J	`jnl`	Marginalizing stacked linear denoising autoencoders. J. Mach. Learn. Res. Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha
2015	A	`conf`	Psychophysical Detection Testing with Bayesian Active Learning. UAI Jacob R. Gardner, Xinyu Song, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham
2014	J	`jnl`	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing. CoRR Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen
2014	—	`ed.`	Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada NIPS Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger
2014	A*	`conf`	Bayesian Optimization with Inequality Constraints. ICML Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham
2014	J	`jnl`	Classifier cascades and trees for minimizing feature evaluation cost. J. Mach. Learn. Res. Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle
2014	A*	`conf`	Fast flux discriminant for large-scale sparse nonlinear classification. KDD Wenlin Chen, Yixin Chen, Kilian Q. Weinberger
2014	A*	`conf`	Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. AAAI Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen
2014	A*	`conf`	Gradient boosted feature selection. KDD Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
2014	A*	`conf`	Marginalized Denoising Auto-encoders for Nonlinear Representations. ICML Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio
2014	J	`jnl`	Marginalizing Corrupted Features. CoRR Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
2014	J	`jnl`	Parallel Support Vector Machines in Practice. CoRR Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran
2014	J	`jnl`	Stochastic Covariance Compression. CoRR Matt J. Kusner, Nicholas I. Kolkin, Stephen Tyree, Kilian Q. Weinberger
2014	A*	`conf`	Stochastic Neighbor Compression. ICML Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal
2014	—	`conf`	Transductive Minimax Probability Machine. ECML/PKDD (1) Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger
2013	—	`ed.`	Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. NIPS Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger
2013	J	`jnl`	An alternative text representation to TF-IDF and Bag-of-Words CoRR Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha
2013	—	`conf`	Anytime Representation Learning. ICML (3) Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger
2013	—	`conf`	Cost-Sensitive Tree of Classifiers. ICML (1) Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
2013	—	`conf`	Fast Image Tagging. ICML (3) Minmin Chen, Alice X. Zheng, Kilian Q. Weinberger
2013	A*	`conf`	Goal-Oriented Euclidean Heuristics with Manifold Learning. AAAI Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen
2013	—	`conf`	Learning with Marginalized Corrupted Features. ICML (1) Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger
2013	—	`conf`	Maximum Variance Correction with Application to A* Search. ICML (1) Wenlin Chen, Kilian Q. Weinberger, Yixin Chen
2013	—	`conf`	Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC Fred W. Prior, Sarah Jost Fouke, Tammie L. S. Benzinger, Alicia Boyd, Michael Chicoine, Sharath R. Cholleti, Matthew Kelsey, Bart Keogh, Lauren Kim, Mikhail Milchenko, David G. Politte, Stephen Tyree, Kilian Q. Weinberger, Daniel S. Marcus
2013	—	`conf`	Utilizing Landmarks in Euclidean Heuristics for Optimal Planning. AAAI (Late-Breaking Developments) Qiang Lu, Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Xiaoping Chen
2012	—	`ed.`	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. NIPS Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger
2012	A	`conf`	Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem
2012	J	`jnl`	Cost-Sensitive Tree of Classifiers CoRR Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
2012	J	`jnl`	Distance Metric Learning for Kernel Machines CoRR Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
2012	A	`conf`	From sBoW to dCoT marginalized encoders for text representation. CIKM Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha
2012	J	`jnl`	Marginalized Denoising Autoencoders for Domain Adaptation CoRR Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
2012	A*	`conf`	Marginalized Denoising Autoencoders for Domain Adaptation. ICML Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
2012	—	`conf`	Non-linear Metric Learning. NIPS Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, Gert R. G. Lanckriet
2012	—	`conf`	Stochastic triplet embedding. MLSP Laurens van der Maaten, Kilian Q. Weinberger
2012	A*	`conf`	The Greedy Miser: Learning under Test-time Budgets. ICML Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
2011	—	`ed.`	Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain. NIPS John Shawe-Taylor, Richard S. Zemel, Peter L. Bartlett, Fernando C. N. Pereira, Kilian Q. Weinberger
2011	A*	`conf`	Automatic Feature Decomposition for Single View Co-training. ICML Minmin Chen, Kilian Q. Weinberger, Yixin Chen
2011	J	`jnl`	Boosted multi-task learning. Mach. Learn. Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
2011	—	`conf`	Co-Training for Domain Adaptation. NIPS Minmin Chen, Kilian Q. Weinberger, John Blitzer
2011	A*	`conf`	Parallel boosted regression trees for web search ranking. WWW Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
2011	J	`jnl`	Rapid Feature Learning with Stacked Linear Denoisers CoRR Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
2011	—	`conf`	Spam or ham?: characterizing and detecting fraudulent "not spam" reports in web mail systems. CEAS Anirudh Ramachandran, Anirban Dasgupta, Nick Feamster, Kilian Q. Weinberger
2011	—	`conf`	Web-Search Ranking with Initialized Gradient Boosted Regression Trees. Yahoo! Learning to Rank Challenge Ananth Mohan, Zheng Chen, Kilian Q. Weinberger
2010	J	`jnl`	Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner]. IEEE Signal Process. Mag. Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
2010	—	`conf`	Decoding Ipsilateral Finger Movements from ECoG Signals in Humans. NIPS Yuzong Liu, Mohit Sharma, Charles M. Gaona, Jonathan Breshears, Jarod Roland, Zachary Freudenburg, Kilian Q. Weinberger, Eric Leuthardt
2010	—	`conf`	Large Margin Multi-Task Metric Learning. NIPS Shibin Parameswaran, Kilian Q. Weinberger
2010	J	`jnl`	Learning to rank with (a lot of) word features. Inf. Retr. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2010	A*	`conf`	Multi-task learning for boosting with application to web search ranking. KDD Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
2009	J	`jnl`	Distance Metric Learning for Large Margin Nearest Neighbor Classification. J. Mach. Learn. Res. Kilian Q. Weinberger, Lawrence K. Saul
2009	J	`jnl`	Feature Hashing for Large Scale Multitask Learning CoRR Kilian Q. Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alexander J. Smola
2009	A*	`conf`	Feature hashing for large scale multitask learning. ICML Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg
2009	A	`conf`	Supervised semantic indexing. CIKM Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2009	—	`conf`	Unsupervised image ranking. LS-MMRM@ACM Multimedia Eva Hörster, Malcolm Slaney, Marc'Aurelio Ranzato, Kilian Q. Weinberger
2008	A*	`conf`	Fast solvers and efficient implementations for distance metric learning. ICML Kilian Q. Weinberger, Lawrence K. Saul
2008	—	`conf`	Large Margin Taxonomy Embedding for Document Categorization. NIPS Kilian Q. Weinberger, Olivier Chapelle
2008	—	`conf`	Learning a Metric for Music Similarity. ISMIR Malcolm Slaney, Kilian Q. Weinberger, William White
2008	C	`conf`	Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. ICMLA Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul
2008	A*	`conf`	Resolving tag ambiguity. ACM Multimedia Kilian Q. Weinberger, Malcolm Slaney, Roelof van Zwol
2007	A	`conf`	Metric Learning for Kernel Regression. AISTATS Kilian Q. Weinberger, Gerald Tesauro
2006	A*	`conf`	An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. AAAI Kilian Q. Weinberger, Lawrence K. Saul
2006	—	`conf`	Graph Laplacian Regularization for Large-Scale Semidefinite Programming. NIPS Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul
2006	—	`ch.`	Spectral Methods for Dimensionality Reduction. Semi-Supervised Learning Lawrence K. Saul, Kilian Q. Weinberger, Fei Sha, Jihun Ham, Daniel D. Lee
2006	J	`jnl`	Unsupervised Learning of Image Manifolds by Semidefinite Programming. Int. J. Comput. Vis. Kilian Q. Weinberger, Lawrence K. Saul
2005	—	`conf`	Distance Metric Learning for Large Margin Nearest Neighbor Classification. NIPS Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul
2005	A	`conf`	Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization. AISTATS Kilian Q. Weinberger, Benjamin Packer, Lawrence K. Saul
2004	—	`conf`	Hierarchical Distributed Representations for Statistical Language Modeling. NIPS John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira
2004	A*	`conf`	Learning a kernel matrix for nonlinear dimensionality reduction. ICML Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
2004	—	`conf`	Unsupervised Learning of Image Manifolds by Semidefinite Programming. CVPR (2) Kilian Q. Weinberger, Lawrence K. Saul