Ari Morcos - RankMe

23 papers A* 6A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DatBench: Discriminative, Faithful, and Efficient VLM Evaluations. CoRR Siddharth Joshi, Haoli Yin, Rishabh Adiga, Ricardo Monti, Aldo Carranza, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Parth Doshi, Paul Burstein, Pratyush Maini, Scott Loftin, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2026	J	`jnl`	The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data. CoRR Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini
2026	J	`jnl`	ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset. CoRR Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2025	J	`jnl`	BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining. CoRR Pratyush Maini, Vineeth Dorna, Parth Doshi, Aldo Carranza, Fan Pan, Jack Urbanek, Paul Burstein, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Charvi Bannur, Christina Baek, Darren Teh, David Schwab, Haakon Mongstad, Haoli Yin, Josh Wills, Kaleigh Mentzer, Luke Merrick, Ricardo Monti, Rishabh Adiga, Siddharth Joshi, Spandan Das, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2025	J	`jnl`	Luxical: High-Speed Lexical-Dense Text Embeddings. CoRR Luke Merrick, Alex Fang, Aldo Carranza, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Paul Burstein, Parth Doshi, Paul Burnstein, Pratyush Maini, Ricardo Monti, Rishabh Adiga, Scott Loftin, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum
2023	A*	`conf`	D4: Improving LLM Pretraining via Document De-Duplication and Diversification. NeurIPS Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos
2023	J	`jnl`	Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations. CoRR Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos
2023	A*	`conf`	PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. NeurIPS Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos
2023	J	`jnl`	SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos
2023	A*	`conf`	Stable and low-precision training for large-scale vision-language models. NeurIPS Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
2023	J	`jnl`	Stable and low-precision training for large-scale vision-language models. CoRR Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
2022	A*	`conf`	Beyond neural scaling laws: beating power law scaling via data pruning. NeurIPS Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos
2022	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt
2021	A*	`conf`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2021	A	`conf`	Representation Learning Through Latent Canonicalizations. WACV Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2021	J	`jnl`	Transformed CNNs: recasting pre-trained convolutional layers with self-attention. CoRR Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Ari Morcos
2020	J	`jnl`	Analyzing Visual Representations in Embodied Navigation Tasks. CoRR Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
2020	J	`jnl`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2020	A*	`conf`	DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames. ICLR Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra
2020	J	`jnl`	Pruning Convolutional Neural Networks with Self-Supervision. CoRR Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
2020	J	`jnl`	Representation Learning Through Latent Canonicalizations. CoRR Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2019	J	`jnl`	Decentralized Distributed PPO: Solving PointGoal Navigation. CoRR Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra