Ari Morcos
16 papers · 2018–2023 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🗃️
Keyword Collector
(76)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(16)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
Conferences
NIPS (8)
ICLR (2)
ICML (2)
ACL (1)
IJCNLP (1)
L4DC (1)
WACV (1)
Top co-authors
Keywords
representation learning
(3)
machine translation
(2)
random initialization
(2)
model compression
(2)
data augmentation
(2)
reservoir computing
(2)
convolutional neural network
(2)
inductive bia
(2)
image classification
(1)
transfer learning
(1)
lottery ticket hypothesis
(1)
embedding learning
(1)
transformer architecture
(1)
domain generalization
(1)
computational efficiency
(1)
image generation
(1)
gradient estimation
(1)
web corpus
(1)
few-shot learning
(1)
network pruning
(1)
Papers
Stable and low-precision training for large-scale vision-language models
NIPS 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
NIPS 2023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
NIPS 2023
Beyond neural scaling laws: beating power law scaling via data pruning
NIPS 2022
Representation Learning Through Latent Canonicalizations
WACV 2021
Grounding inductive biases in natural images: invariance stems from variations in data
NIPS 2021
Reservoir Transformers
ACL 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
ICML 2021
Reservoir Transformers
IJCNLP 2021
Plan2Vec: Unsupervised Representation Learning by Latent Plans
L4DC 2020
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
ICLR 2020
The Generalization-Stability Tradeoff In Neural Network Pruning
NIPS 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
NIPS 2019
Insights on representational similarity in neural networks with canonical correlation
NIPS 2018
Measuring abstract reasoning in neural networks
ICML 2018