Ari S. Morcos

Computer Science · Physical Sciences

28h-index4.6kcitations93works0.92yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(33), Advanced Neural Network Applications(22), Multimodal Machine Learning Applications(15), Neural Networks and Applications(13), Adversarial Robustness in Machine Learning(13)

Publications90 total

ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
arXiv (Cornell University)·2026Open Access
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
arXiv (Cornell University)·2026Open Access
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
arXiv (Cornell University)·2026Open Access
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
ArXiv.org·2026Open Access
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
arXiv (Cornell University)·2025Open Access
Brevity is the soul of wit: Pruning long files for code generation
arXiv (Cornell University)·2024Open Access
Sieve: Multimodal Dataset Pruning Using Image Captioning Models
2024· 10 cited
Effective pruning of web-scale datasets based on complexity of concept clusters
arXiv (Cornell University)·2024Open Access
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
arXiv (Cornell University)·2023Open Access
Sieve: Multimodal Dataset Pruning Using Image Captioning Models
arXiv (Cornell University)·2023Open Access
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
arXiv (Cornell University)·2023· 14 citedOpen Access
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
arXiv (Cornell University)·2023· 4 citedOpen Access
Emergence of Maps in the Memories of Blind Navigation Agents
AI Matters·2023· 17 cited
On the special role of class-selective neurons in early training
arXiv (Cornell University)·2023Open Access
Stable and low-precision training for large-scale vision-language models
arXiv (Cornell University)·2023· 5 citedOpen Access
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations
arXiv (Cornell University)·2023· 3 citedOpen Access
A Cookbook of Self-Supervised Learning
arXiv (Cornell University)·2023· 161 citedOpen Access
A distributed and efficient population code of mixed selectivity neurons for flexible navigation decisions
Nature Communications·2023· 48 citedOpen Access
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
arXiv (Cornell University)·2023· 12 citedOpen Access
Emergence of Maps in the Memories of Blind Navigation Agents
arXiv (Cornell University)·2023· 1 citedOpen Access
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Frequent Co-authors

Neil C. Rabinowitz(6), Yuandong Tian(6), David G. T. Barrett(5), Matthew L. Leavitt(4), Avraham Ruderman(4), Christopher D. Harvey(4), Erik Wijmans(4), Stefan Lee(4), Irfan Essa(4), Manolis Savva(4), Dhruv Batra(4), Haonan Yu(4), Jonathan Frankle(4), David J. Schwab(4), Mitchell Wortsman(3), Ali Farhadi(3), Ludwig Schmidt(3), Abhishek Kadian(3), Devi Parikh(3), Mark Ibrahim(3)