Phillip Isola
Associate Professor
Studies how intelligence works and why we represent the world as we do, building machine learning systems for vision and language that replicate these abilities.
Phillip Isola's lab at MIT works on vision-language & multimodal. 35 papers since 2023, 30 at top venues, mostly NeurIPS and ICML. 13 PhD students and 1 master's student. 36 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 86%
- PhD students
- 13
- MS students
- 1
- alumni listed
- 36
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 6 · collecting
- 10 papers2025 · T1 8
- 8 papers2024 · T1 7
- 10 papers2023 · T1 9
T1 venuesOtherVenues: NeurIPS, ICML, CoRL, CVPR, ICLR
Research focuspaper titles that use each topic's words
- Vision-language & multimodal8 papers
- abilities0 papers
- represent0 papers
- world0 papers
- learning systems0 papers
Paper list
From the lab homepage.
20267 papers
- ICLR (T1)Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
- NeurIPS (T1)End-to-End Training for Unified Tokenization and Latent Denoising
- NeurIPS (T1)MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
- ICML (T1)Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
- CoRL (T1)Scalable Behavior Cloning with Open Data, Training, and Evaluation
- Findings of CVPRSeeing Helps Reasoning in Language Models
- ICML (T1)The Truth Lies Somewhere in the Middle (of the Generated Tokens)
202510 papers
- ICML (T1)[Paper][Website][Code]
- ICLR (T1)Adaptive Length Image Tokenization via Recurrent Allocation
- NeurIPS (T1)AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
- Artificial LifeAutomating the Search for Artificial Life with Foundation Models
- ICCV (T1)Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
- Journal of Experimental Psychology: GeneralIntrinsically Memorable Words Have Unique Associations With Their Meanings
- CoRL (T1)LucidXR: A Framework for Learning Dexterous Manipulation from Human Demonstrations
- ICLR (T1)Personalized Representation from Personalized Generation
- IROS (T1)Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups
- NeurIPS (T1)Single-pass Adaptive Image Tokenization for Minimum Program Search
20248 papers
- CVPR (T1)A Vision Check-up for Language Models
- Findings of NAACLLangNav: Language as a Perceptual Representation for Navigation
- CVPR (T1)Learning Vision from Models Rivals Learning Vision from Data
- CoRL (T1)Learning Visual Parkour from Generated Images
- NeurIPS (T1)Scalable Optimization in the Modular Norm
- CVPR (T1)Scaling Laws of Synthetic Images for Model Training ... for Now
- ICML (T1)The Platonic Representation Hypothesis
- NeurIPS (T1)When Does Perceptual Alignment Benefit Vision Representations?
202310 papers
- CoRL (T1)Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
- NeurIPS (T1)Improving CLIP Training with Language Rewrites
- NeurIPS (T1)Learning New Dimensions of Human Visual Similarity using Synthetic Data
- NeurIPS Track on Datasets and BenchmarksNeural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
- ICML (T1)Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
- CVPR (T1)Persistent Nature: A Generative Model of Unbounded 3D Worlds
- ICLR (T1)Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
- NeurIPS (T1)StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
- ICML (T1)Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
- TMLR (T1)The Low-Rank Simplicity Bias in Deep Networks
Where alumni went36 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
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- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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