Phillip Isola
62 papers · 2011–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (78) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(23)
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Dynamic Duo
(11)
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Triple Crown
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
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Keyword Champion
(3)
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Keyword Pioneer
β‘
Prolific Year Β· Prolific
π
Trend Setter
π₯
Unstoppable Β· Silver
β
The Questioner
(4)
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Conference Pioneer
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Renaissance Researcher
(7)
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Century Club Β· Silver
ποΈ
Keyword Collector
(259)
Top co-authors
Research topics
Machine Learning
(38)
Deep Learning
(33)
Core Methods
(25)
Computer Vision
(24)
Learning Types Β· Machine Learning
(24)
Artificial Intelligence
(18)
Learning Types Β· Deep Learning
(17)
Core AI
(16)
Models
(16)
Reinforcement Learning
(11)
Analysis
(8)
Application Areas
(7)
Architectures
(7)
Generation
(7)
Methods
(7)
Keywords
representation learning
(11)
contrastive learning
(8)
generative model
(8)
self-supervised learning
(6)
generative adversarial network
(6)
transfer learning
(5)
image classification
(4)
semantic segmentation
(4)
image generation
(4)
visual representation
(4)
image synthesis
(3)
image translation
(3)
vision-language model
(3)
depth estimation
(3)
world model
(3)
reinforcement learning
(3)
synthetic data
(3)
latent space
(3)
text-to-image model
(3)
perceptual similarity
(3)
Papers
Adaptive Length Image Tokenization via Recurrent Allocation
ICLR 2025
Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
ICCV 2025
Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation
CoRL 2025
Personalized Representation from Personalized Generation
ICLR 2025
Separating Knowledge and Perception with Procedural Data
ICML 2025
A Vision Check-up for Language Models
CVPR 2024
LangNav: Language as a Perceptual Representation for Navigation
NAACL 2024
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Learning Visual Parkour from Generated Images
CoRL 2024
Position: The Platonic Representation Hypothesis
ICML 2024
Scalable Optimization in the Modular Norm
NeurIPS 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
When does perceptual alignment benefit vision representations?
NeurIPS 2024
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
CoRL 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
NeurIPS 2023
Improving CLIP Training with Language Rewrites
NeurIPS 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
NeurIPS 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
ICML 2023
Persistent Nature: A Generative Model of Unbounded 3D Worlds
CVPR 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
ICLR 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
NeurIPS 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
ICML 2023
Any-Resolution Training for High-Resolution Image Synthesis
ECCV 2022
Denoised MDPs: Learning World Models Better Than the World Itself
ICML 2022
Generative Models as a Data Source for Multiview Representation Learning
ICLR 2022
Learning To Generate Line Drawings That Convey Geometry and Semantics
CVPR 2022
MIRA: Mental Imagery for Robotic Affordances
CoRL 2022
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation
NeurIPS 2022
On the Learning and Learnability of Quasimetrics
ICLR 2022
Procedural Image Programs for Representation Learning
NeurIPS 2022
Semantic uncertainty intervals for disentangled latent spaces
NeurIPS 2022
Totems: Physical Objects for Verifying Visual Integrity
ECCV 2022
Adaptable Agent Populations via a Generative Model of Policies
NeurIPS 2021
Curious Representation Learning for Embodied Intelligence
ICCV 2021
Ensembling With Deep Generative Views
CVPR 2021
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace
ICCV 2021
Learning to Ground Multi-Agent Communication with Autoencoders
NeurIPS 2021
Learning to See by Looking at Noise
NeurIPS 2021
Using latent space regression to analyze and leverage compositionality in GANs
ICLR 2021
Contrastive Multiview Coding
ECCV 2020
Contrastive Representation Distillation
ICLR 2020
On the "steerability" of generative adversarial networks
ICLR 2020
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?
ECCV 2020
Supervised Contrastive Learning
NeurIPS 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
ICML 2020
What makes fake images detectable? Understanding properties that generalize
ECCV 2020
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020
Experience-Embedded Visual Foresight
CoRL 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties
ICCV 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
NeurIPS 2019
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
ICML 2018
Evolved Policy Gradients
NeurIPS 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
CVPR 2018
Image-To-Image Translation With Conditional Adversarial Networks
CVPR 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
CVPR 2017
Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks
ICCV 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
NeurIPS 2011