Phillip Isola

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