Kilian Q. Weinberger

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 170

Top Venues

CoRR

ICML

NeurIPS

ICLR

Publications

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
Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR (2024)
Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. ICRA (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. ICRA (2024)
Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. ICLR (2024)
Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting. CoRR (2024)
Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
Better Monocular 3D Detectors with LiDAR from the Past. CoRR (2024)
Zhenzhen Liu, Jin Peng Zhou, Kilian Q. Weinberger
Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold. Frontiers Artif. Intell. 7 (2024)
Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. CoRR (2024)
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
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR (2024)
Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. CoRR (2024)
Justin Lovelace, Varsha Kishore, Yiwei Chen, Kilian Q. Weinberger
Diffusion Guided Language Modeling. ACL (Findings) (2024)
Jin Peng Zhou, Katie Z. Luo, Jingwen Gu, Jason Yuan, Kilian Q. Weinberger, Wen Sun
Orchestrating LLMs with Different Personalizations. CoRR (2024)
Jiawei Yang, Katie Z. Luo, Jiefeng Li, Kilian Q. Weinberger, Yonglong Tian, Yue Wang
Denoising Vision Transformers. CoRR (2024)
Jin Peng Zhou, Christian K. Belardi, Ruihan Wu, Travis Zhang, Carla P. Gomes, Wen Sun, Kilian Q. Weinberger
On Speeding Up Language Model Evaluation. CoRR (2024)
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
IncDSI: Incrementally Updatable Document Retrieval. ICML (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR (2023)
Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi
Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. ICASSP (2023)
Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. ICML (2023)
Zhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting. CoRR (2023)
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. ICRA (2023)
Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger
Correction with Backtracking Reduces Hallucination in Summarization. CoRR (2023)
Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
Learning Iterative Neural Optimizers for Image Steganography. ICLR (2023)
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
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR (2023)
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
Latent Diffusion for Language Generation. NeurIPS (2023)
Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR (2023)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS (2023)
Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR (2023)
Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger
IncDSI: Incrementally Updatable Document Retrieval. CoRR (2023)
Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
On the Effectiveness of Offline RL for Dialogue Response Generation. CoRR (2023)
Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS (2023)
Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. CoRR (2023)
Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald
On the Effectiveness of Offline RL for Dialogue Response Generation. ICML (2023)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. UAI (2023)
Xiangyu Chen, Varsha Kishore, Kilian Q. Weinberger
Learning Iterative Neural Optimizers for Image Steganography. CoRR (2023)
Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) (2023)
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
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CoRR (2022)
Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger
Latent Diffusion for Language Generation. CoRR (2022)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially Private Multi-Party Data Release for Linear Regression. CoRR (2022)
Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan McDonald
Long-term Control for Dialogue Generation: Methods and Evaluation. CoRR (2022)
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. ICRA (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. ICLR (2022)
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR (2022)
Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR (2022)
Ramya Ramakrishnan, Hashan Buddhika Narangodage, Mauro Schilman, Kilian Q. Weinberger, Ryan McDonald
Long-term Control for Dialogue Generation: Methods and Evaluation. NAACL-HLT (2022)
Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. CoRR (2022)
Yurong You, Cheng Perng Phoo, Katie Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. NeurIPS (2022)
Felix Wu, Kwangyoun Kim, Jing Pan, Kyu J. Han, Kilian Q. Weinberger, Yoav Artzi
Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition. ICASSP (2022)
Ruihan Wu, Xin Yang, Yuanshun Yao, Jiankai Sun, Tianyi Liu, Kilian Q. Weinberger, Chong Wang
Differentially private multi-party data release for linear regression. UAI (2022)
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
Convolutional Networks with Dense Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. CoRR (2022)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. ICLR (2022)
Ruihan Wu, Xiangyu Chen, Chuan Guo, Kilian Q. Weinberger
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. CoRR (2022)
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
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR (2022)
Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
Does unsupervised grammar induction need pixels? CoRR (2022)
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo
Does Label Differential Privacy Prevent Label Inference Attacks? CoRR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. ICLR (2022)
Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu J. Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. CoRR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. CoRR (2022)
Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger
Fixed Neural Network Steganography: Train the images, not the network. ICLR (2022)
Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim
Machine learning discovery of new phases in programmable quantum simulator snapshots. CoRR (2021)
Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection. CoRR (2021)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. CoRR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. CoRR (2021)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Towards Deeper Deep Reinforcement Learning with Spectral Normalization. NeurIPS (2021)
Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
On Feature Normalization and Data Augmentation. CVPR (2021)
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger
Making Paper Reviewing Robust to Bid Manipulation Attacks. ICML (2021)
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger
Online Adaptation to Label Distribution Shift. NeurIPS (2021)
Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
Revisiting Few-sample BERT Fine-tuning. ICLR (2021)
Felix Wu, Kwangyoun Kim, Jing Pan, Kyu J. Han, Kilian Q. Weinberger, Yoav Artzi
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition. CoRR (2021)
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. ICCV (2021)
Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. AAAI (2021)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Is High Variance Unavoidable in RL? A Case Study in Continuous Control. CoRR (2021)
Johan Björck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision. ICML (2021)
Johan Bjorck, Xiangyu Chen, Christopher De Sa, Carla P. Gomes, Kilian Q. Weinberger
Low-Precision Reinforcement Learning. CoRR (2021)
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
Towards Deeper Deep Reinforcement Learning. CoRR (2021)
Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
Understanding Decoupled and Early Weight Decay. AAAI (2021)
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
Identifying Mislabeled Data using the Area Under the Margin Ranking. CoRR (2020)
Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. CoRR (2020)
Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
On Feature Normalization and Data Augmentation. CoRR (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. CVPR (2020)
Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
Revisiting Few-sample BERT Fine-tuning. CoRR (2020)
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Wasserstein Distances for Stereo Disparity Estimation. CoRR (2020)
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
BERTScore: Evaluating Text Generation with BERT. ICLR (2020)
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Wasserstein Distances for Stereo Disparity Estimation. NeurIPS (2020)
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR (2020)
Geoff Pleiss, Tianyi Zhang, Ethan R. Elenberg, Kilian Q. Weinberger
Identifying Mislabeled Data using the Area Under the Margin Ranking. NeurIPS (2020)
Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. CoRR (2020)
Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
Revisiting Meta-Learning as Supervised Learning. CoRR (2020)
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CVPR (2020)
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
Convolutional Networks with Dense Connectivity. CoRR (2020)
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. ICLR (2020)
Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes
Understanding Decoupled and Early Weight Decay. CoRR (2020)
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CoRR (2020)
Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks. CoRR (2020)
Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger
Simplifying Graph Convolutional Networks. ICML (2019)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng
Gradient Regularized Budgeted Boosting. CoRR (2019)
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CVPR (2019)
Shengyuan Hu, Tao Yu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger
A New Defense Against Adversarial Images: Turning a Weakness into a Strength. NeurIPS (2019)
Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. IEEE Robotics Autom. Lett. 4 (3) (2019)
Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge J. Belongie
Positional Normalization. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kilian Q. Weinberger