Brian Kulis
31 papers · 2008–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Conference Polyglot
(10)
πΊοΈ
Taxonomy Completionist
(19)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(7)
π¬
Deep Specialist
(10)
π
Keyword Champion
ποΈ
Keyword Collector
(58)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(7)
π
Century Club
(31)
π₯
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
Keywords
metric learning
(8)
bayesian nonparametrics
(6)
bregman divergence
(5)
neural network
(4)
small-variance asymptotics
(4)
dirichlet process
(3)
kernel matrix
(3)
keyword spotting
(3)
image retrieval
(3)
dirichlet process mixture
(2)
hidden markov model
(2)
few-shot learning
(2)
feature learning
(2)
learning to rank
(2)
exponential family
(2)
topic modeling
(2)
kernel learning
(2)
variational inference
(2)
image segmentation
(2)
mahalanobis distance
(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