Kilian Q. Weinberger
Identifiers
- name variant Kilian Q. Weinberger 0.60 · backfill
Papers (35)
- Prescriptive Scaling Laws for Data Constrained Training cs.LG · 2026 · author #5
- Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling cs.LG · 2026 · author #3
- Language-driven Semantic Segmentation cs.CV · 2022 · author #2
- BERTScore: Evaluating Text Generation with BERT cs.CL · 2019 · author #4
- FastFusionNet: New State-of-the-Art for DAWNBench SQuAD cs.CL · 2019 · author #6
- Simplifying Graph Convolutional Networks cs.LG · 2019 · author #6
- Gradient Regularized Budgeted Boosting cs.LG · 2019 · author #3
- Gradient Boosted Feature Selection cs.LG · 2019 · author #3
- Anytime Stereo Image Depth Estimation on Mobile Devices cs.CV · 2018 · author #7
- Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking cs.CV · 2018 · author #3
- Low Frequency Adversarial Perturbation cs.CV · 2018 · author #3
- Understanding Batch Normalization cs.LG · 2018 · author #4
- Resource Aware Person Re-identification across Multiple Resolutions cs.CV · 2018 · author #9
- Constant-Time Predictive Distributions for Gaussian Processes cs.LG · 2018 · author #3
- Product Kernel Interpolation for Scalable Gaussian Processes cs.LG · 2018 · author #4
- CondenseNet: An Efficient DenseNet using Learned Group Convolutions cs.CV · 2017 · author #4
- On Fairness and Calibration cs.LG · 2017 · author #5
- Memory-Efficient Implementation of DenseNets cs.CV · 2017 · author #6
- On Calibration of Modern Neural Networks cs.LG · 2017 · author #4
- Snapshot Ensembles: Train 1, get M for free cs.LG · 2017 · author #6
- Multi-Scale Dense Networks for Resource Efficient Image Classification cs.LG · 2017 · author #6
- Densely Connected Convolutional Networks cs.CV · 2016 · author #4
- Private Causal Inference stat.ML · 2015 · author #4
- Deep Manifold Traversal: Changing Labels with Convolutional Features cs.LG · 2015 · author #5
- Compressing Convolutional Neural Networks cs.LG · 2015 · author #4
- Compressing Neural Networks with the Hashing Trick cs.LG · 2015 · author #4
- Compressed Support Vector Machines cs.LG · 2015 · author #4
- Differentially Private Bayesian Optimization stat.ML · 2015 · author #4
- Image Data Compression for Covariance and Histogram Descriptors stat.ML · 2014 · author #4
- A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing stat.ML · 2014 · author #5
- Parallel Support Vector Machines in Practice cs.LG · 2014 · author #3
- An alternative text representation to TF-IDF and Bag-of-Words cs.IR · 2013 · author #3
- Cost-Sensitive Tree of Classifiers stat.ML · 2012 · author #3
- Distance Metric Learning for Kernel Machines stat.ML · 2012 · author #2
- Rapid Feature Learning with Stacked Linear Denoisers cs.LG · 2011 · author #2
Mentions
- 2201.03546 #2 · arxiv_oai · confidence 0.70 Kilian Q. Weinberger
Frequent Coauthors
- Gao Huang 8 shared papers
- Jacob R. Gardner 7 shared papers
- Geoff Pleiss 6 shared papers
- Matt J. Kusner 6 shared papers
- Felix Wu 5 shared papers
- Laurens van der Maaten 5 shared papers
- Stephen Tyree 5 shared papers
- Wenlin Chen 3 shared papers
- Yan Wang 3 shared papers
- Yixin Chen 3 shared papers
- Zhixiang Eddie Xu 3 shared papers
- Zhixiang Xu 3 shared papers
- Alice X. Zheng 2 shared papers
- Andrew Gordon Wilson 2 shared papers
- Boyi Li 2 shared papers
- Brian H. Wang 2 shared papers
- Christian Belardi 2 shared papers
- Chuan Guo 2 shared papers
- Danlu Chen 2 shared papers
- Fei Sha 2 shared papers