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2020 – today
- 2024
[c28]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos:
Sieve: Multimodal Dataset Pruning Using Image Captioning Models. CVPR 2024: 22423-22432- [c27]Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos:
Effective pruning of web-scale datasets based on complexity of concept clusters. ICLR 2024 - [i49]Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos:
Effective pruning of web-scale datasets based on complexity of concept clusters. CoRR abs/2401.04578 (2024) - [i48]Aaditya K. Singh, Yu Yang, Kushal Tirumala, Mostafa Elhoushi, Ari S. Morcos:
Brevity is the soul of wit: Pruning long files for code generation. CoRR abs/2407.00434 (2024) - 2023
- [j4]Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra:
Emergence of Maps in the Memories of Blind Navigation Agents. AI Matters 9(2): 8-14 (2023) - [j3]Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt:
The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny:
On the special role of class-selective neurons in early training. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos:
lo-fi: distributed fine-tuning without communication. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra:
Emergence of Maps in the Memories of Blind Navigation Agents. ICLR 2023 - [c25]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. NeurIPS 2023 - [c24]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. NeurIPS 2023 - [c23]Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt:
Stable and low-precision training for large-scale vision-language models. NeurIPS 2023 - [i47]Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra:
Emergence of Maps in the Memories of Blind Navigation Agents. CoRR abs/2301.13261 (2023) - [i46]Amro Abbas, Kushal Tirumala, Daniel Simig, Surya Ganguli, Ari S. Morcos:
SemDeDup: Data-efficient learning at web-scale through semantic deduplication. CoRR abs/2303.09540 (2023) - [i45]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:
A Cookbook of Self-Supervised Learning. CoRR abs/2304.12210 (2023) - [i44]Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt:
Stable and low-precision training for large-scale vision-language models. CoRR abs/2304.13013 (2023) - [i43]Shashank Shekhar, Florian Bordes, Pascal Vincent, Ari Morcos:
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations. CoRR abs/2304.13089 (2023) - [i42]Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny:
On the special role of class-selective neurons in early training. CoRR abs/2305.17409 (2023) - [i41]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari S. Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. CoRR abs/2308.03977 (2023) - [i40]Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari S. Morcos:
D4: Improving LLM Pretraining via Document De-Duplication and Diversification. CoRR abs/2308.12284 (2023) - [i39]Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari Morcos:
SIEVE: Multimodal Dataset Pruning Using Image Captioning Models. CoRR abs/2310.02110 (2023) - [i38]Yu Yang, Aaditya K. Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S. Morcos, Newsha Ardalani:
Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. CoRR abs/2312.02418 (2023) - 2022
- [c22]Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt:
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML 2022: 23965-23998 - [c21]Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam:
COAT: Measuring Object Compositionality in Emergent Representations. ICML 2022: 24388-24413 - [c20]Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari Morcos:
Beyond neural scaling laws: beating power law scaling via data pruning. NeurIPS 2022 - [i37]Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt:
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR abs/2203.05482 (2022) - [i36]Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos:
Beyond neural scaling laws: beating power law scaling via data pruning. CoRR abs/2206.14486 (2022) - [i35]Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos:
lo-fi: distributed fine-tuning without communication. CoRR abs/2210.11948 (2022) - [i34]Mark Ibrahim, Diane Bouchacourt, Ari S. Morcos:
Robust Self-Supervised Learning with Lie Groups. CoRR abs/2210.13356 (2022) - [i33]Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt:
The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR abs/2210.13604 (2022) - 2021
- [c19]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformers. ACL/IJCNLP (1) 2021: 4294-4309 - [c18]Ting-Wu Chin, Diana Marculescu
, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops 2021: 2990-2999 - [c17]Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. ICLR 2021 - [c16]Matthew L. Leavitt, Ari S. Morcos:
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. ICLR 2021 - [c15]Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun:
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. ICML 2021: 2286-2296 - [c14]Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake:
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML 2021: 10519-10529 - [c13]Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos:
Grounding inductive biases in natural images: invariance stems from variations in data. NeurIPS 2021: 19566-19579 - [c12]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) 2021: 119-134 - [c11]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. WACV 2021: 645-654 - [i32]Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun:
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. CoRR abs/2103.10697 (2021) - [i31]Chaitanya K. Ryali, David J. Schwab, Ari S. Morcos:
Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning. CoRR abs/2103.12719 (2021) - [i30]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CoRR abs/2104.13255 (2021) - [i29]Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos:
Grounding inductive biases in natural images: invariance stems from variations in data. CoRR abs/2106.05121 (2021) - [i28]Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Ari Morcos:
Transformed CNNs: recasting pre-trained convolutional layers with self-attention. CoRR abs/2106.05795 (2021) - [i27]Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas:
Trade-offs of Local SGD at Scale: An Empirical Study. CoRR abs/2110.08133 (2021) - 2020
- [c10]Jonathan Frankle, David J. Schwab, Ari S. Morcos:
The Early Phase of Neural Network Training. ICLR 2020 - [c9]Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra:
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames. ICLR 2020 - [c8]Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. ICLR 2020 - [c7]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC 2020: 935-946 - [c6]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS 2020 - [i26]Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin:
Pruning Convolutional Neural Networks with Self-Supervision. CoRR abs/2001.03554 (2020) - [i25]Jonathan Frankle, David J. Schwab, Ari S. Morcos:
The Early Phase of Neural Network Training. CoRR abs/2002.10365 (2020) - [i24]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. CoRR abs/2002.11829 (2020) - [i23]Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. CoRR abs/2003.00152 (2020) - [i22]Matthew L. Leavitt, Ari S. Morcos:
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. CoRR abs/2003.01262 (2020) - [i21]Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos:
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR abs/2003.05993 (2020) - [i20]Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra:
Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR abs/2005.03648 (2020) - [i19]Matthew L. Leavitt, Ari S. Morcos:
On the relationship between class selectivity, dimensionality, and robustness. CoRR abs/2007.04440 (2020) - [i18]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR abs/2007.11752 (2020) - [i17]Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake:
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR abs/2010.02855 (2020) - [i16]Tiffany Tianhui Cai, Jonathan Frankle, David J. Schwab, Ari S. Morcos:
Are all negatives created equal in contrastive instance discrimination? CoRR abs/2010.06682 (2020) - [i15]Matthew L. Leavitt, Ari S. Morcos:
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality. CoRR abs/2010.07693 (2020) - [i14]Matthew L. Leavitt, Ari S. Morcos:
Towards falsifiable interpretability research. CoRR abs/2010.12016 (2020) - [i13]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. CoRR abs/2012.15045 (2020)
2010 – 2019
- 2019
- [c5]Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. ICLR (Poster) 2019 - [c4]Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian:
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. NeurIPS 2019: 4933-4943 - [i12]Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR abs/1902.00120 (2019) - [i11]Yuandong Tian, Tina Jiang, Qucheng Gong, Ari S. Morcos:
Luck Matters: Understanding Training Dynamics of Deep ReLU Networks. CoRR abs/1905.13405 (2019) - [i10]Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos:
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. CoRR abs/1906.02768 (2019) - [i9]Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian:
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. CoRR abs/1906.02773 (2019) - [i8]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR abs/1906.03728 (2019) - [i7]Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra:
Decentralized Distributed PPO: Solving PointGoal Navigation. CoRR abs/1911.00357 (2019) - 2018
- [c3]Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick:
On the importance of single directions for generalization. ICLR (Poster) 2018 - [c2]Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Measuring abstract reasoning in neural networks. ICML 2018: 4477-4486 - [c1]Ari S. Morcos, Maithra Raghu, Samy Bengio:
Insights on representational similarity in neural networks with canonical correlation. NeurIPS 2018: 5732-5741 - [i6]Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick:
On the importance of single directions for generalization. CoRR abs/1803.06959 (2018) - [i5]Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran:
Learned Deformation Stability in Convolutional Neural Networks. CoRR abs/1804.04438 (2018) - [i4]Ari S. Morcos, Maithra Raghu, Samy Bengio:
Insights on representational similarity in neural networks with canonical correlation. CoRR abs/1806.05759 (2018) - [i3]Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel:
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR abs/1807.01281 (2018) - [i2]David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap:
Measuring abstract reasoning in neural networks. CoRR abs/1807.04225 (2018) - [i1]David G. T. Barrett, Ari S. Morcos, Jakob H. Macke:
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? CoRR abs/1810.13373 (2018)
Coauthor Index
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last updated on 2024-10-07 01:29 CEST by the dblp team
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