Kilian Q. Weinberger

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026 Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene CVPR 2025 DiffuBox: Refining 3D Object Detection with Point Diffusion NeurIPS 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation NeurIPS 2024 Sample-Efficient Diffusion for Text-To-Speech Synthesis Interspeech 2024 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Latent Diffusion for Language Generation NeurIPS 2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023 Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery NeurIPS 2023 Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions CVPR 2022 Learning To Detect Mobile Objects From LiDAR Scans Without Labels CVPR 2022 Unsupervised Adaptation from Repeated Traversals for Autonomous Driving NeurIPS 2022 Characterizing the Loss Landscape in Non-Negative Matrix Factorization AAAI 2021 Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation ICCV 2021 On Feature Normalization and Data Augmentation CVPR 2021 Online Adaptation to Label Distribution Shift NeurIPS 2021 Towards Deeper Deep Reinforcement Learning with Spectral Normalization NeurIPS 2021 Understanding Decoupled and Early Weight Decay AAAI 2021 BERTScore: Evaluating Text Generation with BERT ICLR 2020 End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020 Identifying Mislabeled Data using the Area Under the Margin Ranking NeurIPS 2020 Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving ICLR 2020 Train in Germany, Test in the USA: Making 3D Object Detectors Generalize CVPR 2020 Wasserstein Distances for Stereo Disparity Estimation NeurIPS 2020 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 Exact Gaussian Processes on a Million Data Points NeurIPS 2019 Low Frequency Adversarial Perturbation UAI 2019 Positional Normalization NeurIPS 2019 Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving CVPR 2019 CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CVPR 2018 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 Resource Aware Person Re-Identification Across Multiple Resolutions CVPR 2018 Understanding Batch Normalization NeurIPS 2018 Densely Connected Convolutional Networks CVPR 2017 On Calibration of Modern Neural Networks ICML 2017 On Fairness and Calibration NeurIPS 2017 Private Causal Inference AISTATS 2016 Supervised Word Mover's Distance NeurIPS 2016 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Fast Distributed k-Center Clustering with Outliers on Massive Data NeurIPS 2015 Marginalizing Stacked Linear Denoising Autoencoders JMLR 2015 Classifier Cascades and Trees for Minimizing Feature Evaluation Cost JMLR 2014 Non-linear Metric Learning NeurIPS 2012 Co-Training for Domain Adaptation NeurIPS 2011 Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 Metric Learning for Kernel Regression AISTATS 1999