Brian Kulis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
16
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap. | Christopher Liao, Christian So, Theodoros Tsiligkaridis, Brian Kulis |
| 2025 | JSSPP | Job Grouping Based Intelligent Resource Prediction Framework. | Beste Oztop, Benjamin Schwaller, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun |
| 2025 | WACV | Image-Caption Encoding for Improving Zero-Shot Generalization. | Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis, Brian Kulis |
| 2024 | CVPR | Descriptor and Word Soups Q: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning. | Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis |
| 2024 | ICASSP | Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting. | Zuzhao Ye, Gregory Ciccarelli, Brian Kulis |
| 2023 | ICML | Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization. | Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis |
| 2023 | SC | Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. | Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun |
| 2022 | CLUSTER | ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems. | Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Ayse K. Coskun |
| 2022 | ICML | Faster Algorithms for Learning Convex Functions. | Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis |
| 2022 | Interspeech | Latency Control for Keyword Spotting. | Christin Jose, Joe Wang, Grant P. Strimel, Mohammad Omar Khursheed, Yuriy Mishchenko, Brian Kulis |
| 2022 | PCS | Substitutional Neural Image Compression. | Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin |
| 2021 | ASRU | Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting. | Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla |
| 2021 | WACV | Real-time Localized Photorealistic Video Style Transfer. | Xide Xia, Tianfan Xue, Wei-Sheng Lai, Zheng Sun, Abby Chang, Brian Kulis, Jiawen Chen |
| 2020 | ECCV | Joint Bilateral Learning for Real-Time Universal Photorealistic Style Transfer. | Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen |
| 2020 | ICML | Deep Divergence Learning. | Hatice Kubra Cilingir, Rachel Manzelli, Brian Kulis |
| 2020 | ICML | Piecewise Linear Regression via a Difference of Convex Functions. | Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama |
| 2020 | Interspeech | Metadata-Aware End-to-End Keyword Spotting. | Hongyi Liu, Apurva Abhyankar, Yuriy Mishchenko, Thibaud Snchal, Gengshen Fu, Brian Kulis, Noah D. Stein, Anish Shah, Shiv Naga Prasad Vitaladevuni |
| 2020 | Interspeech | Building a Robust Word-Level Wakeword Verification Network. | Rajath Kumar, Mike Rodehorst, Joe Wang, Jiacheng Gu, Brian Kulis |
| 2020 | Interspeech | An Audio-Based Wakeword-Independent Verification System. | Joe Wang, Rajath Kumar, Mike Rodehorst, Brian Kulis, Shiv Naga Prasad Vitaladevuni |
| 2019 | CVPR | Deep Metric Learning to Rank. | Fatih akir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff |
| 2019 | IJCAI | Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin |
| 2018 | ICLR | Stable Distribution Alignment Using the Dual of the Adversarial Distance. | Ben Usman, Kate Saenko, Brian Kulis |
| 2017 | AISTATS | Combinatorial Topic Models using Small-Variance Asymptotics. | Ke Jiang, Suvrit Sra, Brian Kulis |
| 2016 | ICML | Robust Monte Carlo Sampling using Riemannian Nos-Poincar Hamiltonian Dynamics. | Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy |
| 2015 | AISTATS | A Sufficient Statistics Construction of Exponential Family Levy Measure Densities for Nonparametric Conjugate Models. | Robert Finn, Brian Kulis |
| 2015 | AISTATS | Gamma Processes, Stick-Breaking, and Variational Inference. | Anirban Roychowdhury, Brian Kulis |
| 2015 | AISTATS | Power-Law Graph Cuts. | Xiangyang Zhou, Jiaxin Zhang, Brian Kulis |
| 2015 | CVPR | Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval. | Ke Jiang, Qichao Que, Brian Kulis |
| 2013 | ICML | MAD-Bayes: MAP-based Asymptotic Derivations from Bayes. | Tamara Broderick, Brian Kulis, Michael I. Jordan |
| 2012 | ECCV | Discovering Latent Domains for Multisource Domain Adaptation. | Judy Hoffman, Brian Kulis, Trevor Darrell, Kate Saenko |
| 2012 | ICML | Revisiting k-means: New Algorithms via Bayesian Nonparametrics. | Brian Kulis, Michael I. Jordan |
| 2011 | CVPR | What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. | Brian Kulis, Kate Saenko, Trevor Darrell |
| 2010 | ECCV | Adapting Visual Category Models to New Domains. | Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell |
| 2010 | ICML | Implicit Online Learning. | Brian Kulis, Peter L. Bartlett |
| 2009 | ICCV | Kernelized locality-sensitive hashing for scalable image search. | Brian Kulis, Kristen Grauman |
| 2008 | CVPR | Fast image search for learned metrics. | Prateek Jain, Brian Kulis, Kristen Grauman |
| 2007 | ICML | Information-theoretic metric learning. | Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon |
| 2006 | ICML | Learning low-rank kernel matrices. | Brian Kulis, Mtys A. Sustik, Inderjit S. Dhillon |
| 2005 | ICML | Semi-supervised graph clustering: a kernel approach. | Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney |
| 2005 | KDD | A fast kernel-based multilevel algorithm for graph clustering. | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
| 2004 | KDD | Kernel k-means: spectral clustering and normalized cuts. | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
| 2003 | KDD | Natural communities in large linked networks. | John E. Hopcroft, Omar Khan, Brian Kulis, Bart Selman |