Kevin Murphy

40 papers · 2010–2025 · 12 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🗺️ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (161) ⚡ Prolific Year (7) 🚀 Conference Pioneer 💎 Century Club (40) 🔥 Unstoppable (8) ❓ The Questioner

Conferences

CVPR (11) AISTATS (6) ECCV (5) ICLR (4) ICML (4) NIPS (3) ICCV (2) ACL (1) JMLR (1) MLHC (1) NAACL (1) UAI (1)

Top co-authors

Chen Sun (8) Jonathan Huang (8) Carl Vondrick (4) George Papandreou (3) Li Fei-fei (3) Ben Poole (3) Sergio Guadarrama (3) Cordelia Schmid (3) Vivek Rathod (3) Ian Fischer (3)

Keywords

variational inference (4) generative model (4) graph neural network (4) convolutional neural network (4) representation learning (3) multimodal learning (2) image retrieval (2) recurrent neural network (2) video understanding (2) temporal modeling (2) image captioning (2) model-based reinforcement learning (2) offline reinforcement learning (2) trajectory prediction (2) structured prediction (1) feature extraction (1) convex optimization (1) semi-supervised learning (1) black-box optimization (1) visual similarity (1)

Papers

Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs ACL 2025 Bayesian Online Natural Gradient (BONG) NIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NIPS 2024 EM Distillation for One-step Diffusion Models NIPS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Machine Learning on Graphs: A Model and Comprehensive Taxonomy JMLR 2022 Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022 Risk score learning for COVID-19 contact tracing apps MLHC 2021 Amortized Bayesian Optimization over Discrete Spaces UAI 2020 Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020 The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction CVPR 2020 Model-based reinforcement learning for biological sequence design ICLR 2020 Population-Based Black-Box Optimization for Biological Sequence Design ICML 2020 Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems ICML 2020 Diverse Generation for Multi-Agent Sports Games CVPR 2019 Composing Text and Image for Image Retrieval - an Empirical Odyssey CVPR 2019 NAS-Bench-101: Towards Reproducible Neural Architecture Search ICML 2019 Unsupervised Discovery of Parts, Structure, and Dynamics ICLR 2019 Relational Action Forecasting CVPR 2019 VideoBERT: A Joint Model for Video and Language Representation Learning ICCV 2019 Stochastic Prediction of Multi-Agent Interactions from Partial Observations ICLR 2019 Generative Models of Visually Grounded Imagination ICLR 2018 Fixing a Broken ELBO ICML 2018 Tracking Emerges by Colorizing Videos ECCV 2018 Actor-centric Relation Network ECCV 2018 Progressive Neural Architecture Search ECCV 2018 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model ECCV 2018 Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification ECCV 2018 Towards Accurate Multi-Person Pose Estimation in the Wild CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017 Improved Image Captioning via Policy Gradient Optimization of SPIDEr ICCV 2017 Context-Aware Captions From Context-Agnostic Supervision CVPR 2017 Deep Metric Learning via Facility Location CVPR 2017 Detecting Events and Key Actors in Multi-Person Videos CVPR 2016 Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform CVPR 2016 Generation and Comprehension of Unambiguous Object Descriptions 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