Ari Morcos
15 papers · 2018–2023 · 6 venues · across top CS/AI venues
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Optimization & Theory Β· Machine Learning
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representation learning
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convolutional neural network
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transfer learning
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model compression
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data augmentation
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inductive bia
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lottery ticket hypothesis
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image generation
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model-based planning
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few-shot learning
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domain generalization
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vision transformer
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embedding learning
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neural network pruning
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network pruning
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language modeling
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contrastive learning
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machine translation
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Papers
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
NeurIPS 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
NeurIPS 2023
Stable and low-precision training for large-scale vision-language models
NeurIPS 2023
Beyond neural scaling laws: beating power law scaling via data pruning
NeurIPS 2022
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
ICML 2021
Grounding inductive biases in natural images: invariance stems from variations in data
NeurIPS 2021
Representation Learning Through Latent Canonicalizations
WACV 2021
Reservoir Transformers
ACL 2021
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
ICLR 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
L4DC 2020
The Generalization-Stability Tradeoff In Neural Network Pruning
NeurIPS 2020
Learning to Make Analogies by Contrasting Abstract Relational Structure
ICLR 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
NeurIPS 2019
Insights on representational similarity in neural networks with canonical correlation
NeurIPS 2018
Measuring abstract reasoning in neural networks
ICML 2018