← Authors

Phillip Isola

62 papers · 2011–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (76) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (14) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ”¬ Deep Specialist (18) 🌱 Topic Pioneer 🀝 Dynamic Duo (11) ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (62) πŸ—ƒοΈ Keyword Collector (214)

Conferences

NIPS (17) CVPR (11) ICCV (8) ICLR (8) ICML (7) CORL (5) ECCV (5) NAACL (1)

Top co-authors

Yonglong Tian (11) Dilip Krishnan (10) Antonio Torralba (10) Lucy Chai (8) Tongzhou Wang (8) Richard Zhang (5) Minyoung Huh (4) Lijie Fan (4) William T. Freeman (4) Alexei A. Efros (4)

Research topics

Core AI (2)

Keywords

representation learning (9) self-supervised learning (6) generative model (6) contrastive learning (5) transfer learning (5) image classification (4) generative adversarial network (4) image translation (3) visual representation (3) semantic segmentation (3) synthetic image (3) perceptual similarity (3) depth estimation (3) image synthesis (3) text-to-image model (3) data augmentation (2) multimodal learning (2) generative modeling (2) scene understanding (2) human perception (2)

Papers

Personalized Representation from Personalized Generation ICLR 2025
Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation CORL 2025
Adaptive Length Image Tokenization via Recurrent Allocation ICLR 2025
Separating Knowledge and Perception with Procedural Data ICML 2025
Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences ICCV 2025
A Vision Check-up for Language Models CVPR 2024
Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024
Learning Visual Parkour from Generated Images CORL 2024
LangNav: Language as a Perceptual Representation for Navigation NAACL 2024
Learning Vision from Models Rivals Learning Vision from Data CVPR 2024
When does perceptual alignment benefit vision representations? NIPS 2024
Scalable Optimization in the Modular Norm NIPS 2024
Position: The Platonic Representation Hypothesis ICML 2024
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions ICLR 2023
Improving CLIP Training with Language Rewrites NIPS 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners NIPS 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning NIPS 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data NIPS 2023
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CORL 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
Persistent Nature: A Generative Model of Unbounded 3D Worlds CVPR 2023
Totems: Physical Objects for Verifying Visual Integrity ECCV 2022
Any-Resolution Training for High-Resolution Image Synthesis ECCV 2022
Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation NIPS 2022
Learning To Generate Line Drawings That Convey Geometry and Semantics CVPR 2022
Generative Models as a Data Source for Multiview Representation Learning ICLR 2022
On the Learning and Learnability of Quasimetrics ICLR 2022
MIRA: Mental Imagery for Robotic Affordances CORL 2022
Procedural Image Programs for Representation Learning NIPS 2022
Semantic uncertainty intervals for disentangled latent spaces NIPS 2022
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace ICCV 2021
Learning to Ground Multi-Agent Communication with Autoencoders NIPS 2021
Ensembling With Deep Generative Views CVPR 2021
Using latent space regression to analyze and leverage compositionality in GANs ICLR 2021
Learning to See by Looking at Noise NIPS 2021
Adaptable Agent Populations via a Generative Model of Policies NIPS 2021
Curious Representation Learning for Embodied Intelligence ICCV 2021
On the "steerability" of generative adversarial networks ICLR 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
Supervised Contrastive Learning NIPS 2020
Contrastive Multiview Coding ECCV 2020
Rethinking Few-shot Image Classification: A Good Embedding is All You Need? ECCV 2020
What makes fake images detectable? Understanding properties that generalize ECCV 2020
Contrastive Representation Distillation ICLR 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere ICML 2020
Experience-Embedded Visual Foresight CORL 2019
InGAN: Capturing and Retargeting the "DNA" of a Natural Image ICCV 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity NIPS 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties ICCV 2019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation ICML 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric CVPR 2018
Evolved Policy Gradients NIPS 2018
Image-To-Image Translation With Conditional Adversarial Networks CVPR 2017
Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks ICCV 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction CVPR 2017
Visually Indicated Sounds CVPR 2016
Discovering States and Transformations in Image Collections CVPR 2015
Learning Ordinal Relationships for Mid-Level Vision ICCV 2015
Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers ICCV 2013
Understanding the Intrinsic Memorability of Images NIPS 2011