Kevin Murphy
42 papers · 1999–2025 · 12 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (67) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(172)
Venues
Top co-authors
Research topics
Machine Learning
(23)
Artificial Intelligence
(18)
Deep Learning
(17)
Core AI
(12)
Core Methods
(12)
Optimization & Theory
(10)
Computer Vision
(9)
Architectures
(9)
Analysis
(7)
Models
(7)
Learning Types · Machine Learning
(6)
Learning Types · Deep Learning
(5)
Reinforcement Learning
(4)
Learning Paradigms
(4)
Bayesian & Probabilistic
(3)
Keywords
graph neural network
(5)
variational inference
(5)
convolutional neural network
(4)
generative model
(4)
recurrent neural network
(3)
representation learning
(3)
trajectory prediction
(3)
offline reinforcement learning
(2)
biological sequence design
(2)
multi-agent system
(2)
model-based reinforcement learning
(2)
image generation
(2)
multimodal learning
(2)
model-based rl
(2)
temporal modeling
(2)
image captioning
(2)
video understanding
(2)
image retrieval
(2)
variational autoencoder
(2)
structured prediction
(1)
Papers
Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs
ACL 2025
Bayesian Online Natural Gradient (BONG)
NeurIPS 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
NeurIPS 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead!
AISTATS 2024
EM Distillation for One-step Diffusion Models
NeurIPS 2024
Model-based Policy Optimization under Approximate Bayesian Inference
AISTATS 2024
Efficient Online Bayesian Inference for Neural Bandits
AISTATS 2022
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
JMLR 2022
Risk score learning for COVID-19 contact tracing apps
MLHC 2021
Amortized Bayesian Optimization over Discrete Spaces
UAI 2020
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
ICML 2020
Model-based reinforcement learning for biological sequence design
ICLR 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
AISTATS 2020
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
CVPR 2020
Composing Text and Image for Image Retrieval - an Empirical Odyssey
CVPR 2019
Diverse Generation for Multi-Agent Sports Games
CVPR 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
ICML 2019
Relational Action Forecasting
CVPR 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
ICLR 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
ICLR 2019
VideoBERT: A Joint Model for Video and Language Representation Learning
ICCV 2019
Actor-centric Relation Network
ECCV 2018
Fixing a Broken ELBO
ICML 2018
Generative Models of Visually Grounded Imagination
ICLR 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
ECCV 2018
Progressive Neural Architecture Search
ECCV 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
ECCV 2018
Tracking Emerges by Colorizing Videos
ECCV 2018
Context-Aware Captions From Context-Agnostic Supervision
CVPR 2017
Deep Metric Learning via Facility Location
CVPR 2017
Improved Image Captioning via Policy Gradient Optimization of SPIDEr
ICCV 2017
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
CVPR 2017
Towards Accurate Multi-Person Pose Estimation in the Wild
CVPR 2017
Detecting Events and Key Actors in Multi-Person Videos
CVPR 2016
Generation and Comprehension of Unambiguous Object Descriptions
CVPR 2016
Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
CVPR 2016
What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision
NAACL 2015
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
AISTATS 2012
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
AISTATS 2010
Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm
AISTATS 2005
Exact Bayesian structure learning from uncertain interventions
AISTATS 1999