← Authors

Kilian Q. Weinberger

49 papers · 2006–2026 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (20) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (13) πŸ† Keyword Champion πŸ† Grand Slam 🧬 Topic Evolution ❓ The Questioner πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (6) πŸ’Ž Century Club (49) πŸ—ƒοΈ Keyword Collector (60)

Conferences

NIPS (24) CVPR (10) JMLR (3) AAAI (2) AISTATS (2) ICLR (2) UAI (2) ICCV (1) ICML (1) INTERSPEECH (1) WACV (1)

Top co-authors

Wei-Lun Chao (13) Bharath Hariharan (12) Mark Campbell (11) Yurong You (9) Yan Wang (9) Chuan Guo (7) Geoff Pleiss (6) Xiangyu Chen (5) Ruihan Wu (4) Gao Huang (4)

Research topics

Differential Privacy (2) Optimization (1)

Keywords

3d object detection (7) domain adaptation (6) autonomous driving (5) label shift (4) object detection (4) depth estimation (4) convolutional neural network (4) gaussian process (3) metric learning (3) neural network architecture (3) feature extraction (3) diffusion model (3) kernel matrix (2) differential privacy (2) large margin classification (2) gradient descent (2) nearest neighbor classification (2) batch normalization (2) computer vision (2) semidefinite programming (2)

Papers

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