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Brian Kulis

31 papers · 2008–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (58) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (7)

Conferences

NIPS (7) ICML (6) AISTATS (4) INTERSPEECH (4) CVPR (3) JMLR (2) WACV (2) ECCV (1) ICLR (1) IJCAI (1)

Top co-authors

Christopher Liao (5) XIDE XIA (4) Inderjit S. Dhillon (4) Theodoros Tsiligkaridis (4) Ke Jiang (4) Venkatesh Saligrama (3) Prateek Jain (3) Anirban Roychowdhury (3) Ali Siahkamari (3) Joe Wang (3)

Keywords

metric learning (8) bayesian nonparametrics (5) bregman divergence (5) small-variance asymptotics (4) neural network (4) dirichlet process (3) kernel matrix (3) keyword spotting (3) image retrieval (3) bayesian nonparametric (3) few-shot learning (2) dirichlet process mixture (2) hidden markov model (2) feature learning (2) learning to rank (2) exponential family (2) topic modeling (2) kernel learning (2) variational inference (2) image segmentation (2)

Papers

Image-Caption Encoding for Improving Zero-Shot Generalization WACV 2025
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap ICLR 2025
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning CVPR 2024
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization ICML 2023
Faster Algorithms for Learning Convex Functions ICML 2022
Latency Control for Keyword Spotting INTERSPEECH 2022
Real-Time Localized Photorealistic Video Style Transfer WACV 2021
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer ECCV 2020
Learning to Approximate a Bregman Divergence NIPS 2020
Deep Divergence Learning ICML 2020
Piecewise Linear Regression via a Difference of Convex Functions ICML 2020
An Audio-Based Wakeword-Independent Verification System INTERSPEECH 2020
Building a Robust Word-Level Wakeword Verification Network INTERSPEECH 2020
Metadata-Aware End-to-End Keyword Spotting INTERSPEECH 2020
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019
Deep Metric Learning to Rank CVPR 2019
Combinatorial Topic Models using Small-Variance Asymptotics AISTATS 2017
Robust Monte Carlo Sampling using Riemannian NosΓ©-PoincarΓ© Hamiltonian Dynamics ICML 2016
A Sufficient Statistics Construction of Exponential Family LΓ©vy Measure Densities for Nonparametric Conjugate Models AISTATS 2015
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval CVPR 2015
Gamma Processes, Stick-Breaking, and Variational Inference AISTATS 2015
Power-Law Graph Cuts AISTATS 2015
Small-Variance Asymptotics for Hidden Markov Models NIPS 2013
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes ICML 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NIPS 2012
Inductive Regularized Learning of Kernel Functions NIPS 2010
Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009
Learning to Hash with Binary Reconstructive Embeddings NIPS 2009
Online Metric Learning and Fast Similarity Search NIPS 2008