Ari S. Morcos - RankMe

63 papers A* 15Journal 42Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Brevity is the soul of wit: Pruning long files for code generation. CoRR Aaditya K. Singh, Yu Yang, Kushal Tirumala, Mostafa Elhoushi, Ari S. Morcos
2024	A*	`conf`	Effective pruning of web-scale datasets based on complexity of concept clusters. ICLR Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos
2024	J	`jnl`	Effective pruning of web-scale datasets based on complexity of concept clusters. CoRR Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos
2024	A*	`conf`	Sieve: Multimodal Dataset Pruning Using Image Captioning Models. CVPR Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S. Morcos
2023	J	`jnl`	D4: Improving LLM Pretraining via Document De-Duplication and Diversification. CoRR Kushal Tirumala, Daniel Simig, Armen Aghajanyan, Ari S. Morcos
2023	J	`jnl`	Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. CoRR Yu Yang, Aaditya K. Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S. Morcos, Newsha Ardalani
2023	A*	`conf`	Emergence of Maps in the Memories of Blind Navigation Agents. ICLR Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra
2023	J	`jnl`	Emergence of Maps in the Memories of Blind Navigation Agents. AI Matters Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra
2023	J	`jnl`	Emergence of Maps in the Memories of Blind Navigation Agents. CoRR Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra
2023	J	`jnl`	On the special role of class-selective neurons in early training. CoRR Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny
2023	J	`jnl`	On the special role of class-selective neurons in early training. Trans. Mach. Learn. Res. Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L. Leavitt, Stéphane Deny
2023	J	`jnl`	PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. CoRR Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari S. Morcos
2023	J	`jnl`	SemDeDup: Data-efficient learning at web-scale through semantic deduplication. CoRR Amro Abbas, Kushal Tirumala, Daniel Simig, Surya Ganguli, Ari S. Morcos
2023	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
2023	J	`jnl`	lo-fi: distributed fine-tuning without communication. Trans. Mach. Learn. Res. Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2022	J	`jnl`	Beyond neural scaling laws: beating power law scaling via data pruning. CoRR Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos
2022	A*	`conf`	COAT: Measuring Object Compositionality in Emergent Representations. ICML Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam
2022	A*	`conf`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. ICML 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
2022	J	`jnl`	Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time. CoRR 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
2022	J	`jnl`	Robust Self-Supervised Learning with Lie Groups. CoRR Mark Ibrahim, Diane Bouchacourt, Ari S. Morcos
2022	J	`jnl`	lo-fi: distributed fine-tuning without communication. CoRR Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2021	A*	`conf`	ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. ICML Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun
2021	J	`jnl`	ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases. CoRR Stéphane d'Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun
2021	A*	`conf`	Grounding inductive biases in natural images: invariance stems from variations in data. NeurIPS Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos
2021	J	`jnl`	Grounding inductive biases in natural images: invariance stems from variations in data. CoRR Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos
2021	—	`conf`	Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
2021	J	`jnl`	Leveraging background augmentations to encourage semantic focus in self-supervised contrastive learning. CoRR Chaitanya K. Ryali, David J. Schwab, Ari S. Morcos
2021	—	`conf`	Reservoir Transformers. ACL/IJCNLP (1) Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela
2021	A*	`conf`	Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. ICLR Matthew L. Leavitt, Ari S. Morcos
2021	J	`jnl`	Trade-offs of Local SGD at Scale: An Empirical Study. CoRR Jose Javier Gonzalez Ortiz, Jonathan Frankle, Mike Rabbat, Ari S. Morcos, Nicolas Ballas
2021	A*	`conf`	Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. ICLR Jonathan Frankle, David J. Schwab, Ari S. Morcos
2021	—	`conf`	Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
2021	J	`jnl`	Width Transfer: On the (In)variance of Width Optimization. CoRR Ting-Wu Chin, Diana Marculescu, Ari S. Morcos
2020	J	`jnl`	Are all negatives created equal in contrastive instance discrimination? CoRR Tiffany Tianhui Cai, Jonathan Frankle, David J. Schwab, Ari S. Morcos
2020	J	`jnl`	Linking average- and worst-case perturbation robustness via class selectivity and dimensionality. CoRR Matthew L. Leavitt, Ari S. Morcos
2020	J	`jnl`	On the relationship between class selectivity, dimensionality, and robustness. CoRR Matthew L. Leavitt, Ari S. Morcos
2020	J	`jnl`	PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR Ting-Wu Chin, Ari S. Morcos, Diana Marculescu
2020	—	`conf`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	A*	`conf`	Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. ICLR Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos
2020	J	`jnl`	Reservoir Transformer. CoRR Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela
2020	J	`jnl`	Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs. CoRR Matthew L. Leavitt, Ari S. Morcos
2020	A*	`conf`	The Early Phase of Neural Network Training. ICLR Jonathan Frankle, David J. Schwab, Ari S. Morcos
2020	J	`jnl`	The Early Phase of Neural Network Training. CoRR Jonathan Frankle, David J. Schwab, Ari S. Morcos
2020	A*	`conf`	The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2020	J	`jnl`	Towards falsifiable interpretability research. CoRR Matthew L. Leavitt, Ari S. Morcos
2020	J	`jnl`	Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. CoRR Jonathan Frankle, David J. Schwab, Ari S. Morcos
2019	—	`conf`	Learning to Make Analogies by Contrasting Abstract Relational Structure. ICLR (Poster) Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	J	`jnl`	Learning to Make Analogies by Contrasting Abstract Relational Structure. CoRR Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2019	J	`jnl`	Luck Matters: Understanding Training Dynamics of Deep ReLU Networks. CoRR Yuandong Tian, Tina Jiang, Qucheng Gong, Ari S. Morcos
2019	A*	`conf`	One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. NeurIPS Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
2019	J	`jnl`	One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. CoRR Ari S. Morcos, Haonan Yu, Michela Paganini, Yuandong Tian
2019	J	`jnl`	Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. CoRR Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos
2019	J	`jnl`	The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
2018	J	`jnl`	Analyzing biological and artificial neural networks: challenges with opportunities for synergy? CoRR David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
2018	J	`jnl`	Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR 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
2018	A*	`conf`	Insights on representational similarity in neural networks with canonical correlation. NeurIPS Ari S. Morcos, Maithra Raghu, Samy Bengio
2018	J	`jnl`	Insights on representational similarity in neural networks with canonical correlation. CoRR Ari S. Morcos, Maithra Raghu, Samy Bengio
2018	J	`jnl`	Learned Deformation Stability in Convolutional Neural Networks. CoRR Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran
2018	A*	`conf`	Measuring abstract reasoning in neural networks. ICML Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap
2018	J	`jnl`	Measuring abstract reasoning in neural networks. CoRR David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap
2018	—	`conf`	On the importance of single directions for generalization. ICLR (Poster) Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick
2018	J	`jnl`	On the importance of single directions for generalization. CoRR Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz, Matthew M. Botvinick