Celo: Training Versatile Learned Optimizers on a Compute Diet | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Celo: Training Versatile Learned Optimizers on a Compute Diet GPT-4 Technical Report

Reference 1

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This paper cites Bellemare.

Celo: Training Versatile Learned Optimizers on a Compute Diet Bellemare

Reference 2

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This paper cites A Generalizable Approach to Learning Optimizers.

Celo: Training Versatile Learned Optimizers on a Compute Diet A Generalizable Approach to Learning Optimizers

Reference 3

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This paper cites Learning to learn by gradient descent by gradient descent.

Celo: Training Versatile Learned Optimizers on a Compute Diet Learning to learn by gradient descent by gradient descent

Reference 4

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Celo: Training Versatile Learned Optimizers on a Compute Diet Memory efficient adaptive optimization

Reference 5

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Celo: Training Versatile Learned Optimizers on a Compute Diet Scalable Second Order Optimization for Deep Learning

Reference 6

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This paper cites On the distance between two neural networks and the stability of learning.

Celo: Training Versatile Learned Optimizers on a Compute Diet On the distance between two neural networks and the stability of learning

Reference 7

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This paper cites Optimization methods for large-scale machine learning.

Celo: Training Versatile Learned Optimizers on a Compute Diet Optimization methods for large-scale machine learning

Reference 8

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This paper cites Convex optimization.

Celo: Training Versatile Learned Optimizers on a Compute Diet Convex optimization

Reference 9

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This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Celo: Training Versatile Learned Optimizers on a Compute Diet JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 10

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Celo: Training Versatile Learned Optimizers on a Compute Diet Large language models in machine translation

Reference 11

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Celo: Training Versatile Learned Optimizers on a Compute Diet Video generation models as world simulators

Reference 12

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Celo: Training Versatile Learned Optimizers on a Compute Diet Mixtures of experts unlock parameter scaling for deep rl

Reference 13

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This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Celo: Training Versatile Learned Optimizers on a Compute Diet One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 14

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This paper cites A simple framework for contrastive learning of visual representations.

Celo: Training Versatile Learned Optimizers on a Compute Diet A simple framework for contrastive learning of visual representations

Reference 15

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This paper cites On Empirical Comparisons of Optimizers for Deep Learning.

Celo: Training Versatile Learned Optimizers on a Compute Diet On Empirical Comparisons of Optimizers for Deep Learning

Reference 16

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Celo: Training Versatile Learned Optimizers on a Compute Diet Randaugment: Practical automated data augmentation with a reduced search space

Reference 17

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Celo: Training Versatile Learned Optimizers on a Compute Diet Benchmarking Neural Network Training Algorithms

Reference 18

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Celo: Training Versatile Learned Optimizers on a Compute Diet An image is worth 16x16 words: Transformers for image recognition at scale

Reference 19

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This paper cites Incorporating Nesterov momentum into Adam.

Celo: Training Versatile Learned Optimizers on a Compute Diet Incorporating Nesterov momentum into Adam

Reference 20

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This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Celo: Training Versatile Learned Optimizers on a Compute Diet Adaptive subgradient methods for online learning and stochastic optimization

Reference 21

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This paper cites Transformer-based learned optimization.

Celo: Training Versatile Learned Optimizers on a Compute Diet Transformer-based learned optimization

Reference 22

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This paper cites Can Learned Optimization Make Reinforcement Learning Less Difficult?.

Celo: Training Versatile Learned Optimizers on a Compute Diet Can Learned Optimization Make Reinforcement Learning Less Difficult?

Reference 23

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Celo: Training Versatile Learned Optimizers on a Compute Diet Deep learning, volume 1

Reference 24

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This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Celo: Training Versatile Learned Optimizers on a Compute Diet Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 25

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This paper cites Shampoo: Preconditioned stochastic tensor optimization.

Celo: Training Versatile Learned Optimizers on a Compute Diet Shampoo: Preconditioned stochastic tensor optimization

Reference 26

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This paper cites A closer look at learned optimization: Stability, robustness, and inductive biases.

Celo: Training Versatile Learned Optimizers on a Compute Diet A closer look at learned optimization: Stability, robustness, and inductive biases

Reference 27

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Celo: Training Versatile Learned Optimizers on a Compute Diet Highly accurate protein structure prediction with alphafold

Reference 28

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Celo: Training Versatile Learned Optimizers on a Compute Diet Scaling Laws for Neural Language Models

Reference 29

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Celo: Training Versatile Learned Optimizers on a Compute Diet Adam: A Method for Stochastic Optimization

Reference 30

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Celo: Training Versatile Learned Optimizers on a Compute Diet Segment anything

Reference 31

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Celo: Training Versatile Learned Optimizers on a Compute Diet Accelerating Training with Neuron Interaction and Nowcasting Networks

Reference 32

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Celo: Training Versatile Learned Optimizers on a Compute Diet Burghouts, Efstratios Gavves, Cees G

Reference 33

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Celo: Training Versatile Learned Optimizers on a Compute Diet Narrowing the Focus: Learned Optimizers for Pretrained Models

Reference 34

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Celo: Training Versatile Learned Optimizers on a Compute Diet Learning multiple layers of features from tiny images

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Celo: Training Versatile Learned Optimizers on a Compute Diet Imagenet classification with deep convolutional neural networks

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Celo: Training Versatile Learned Optimizers on a Compute Diet Reinforcement learning with augmented data

Reference 37

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Celo: Training Versatile Learned Optimizers on a Compute Diet The mnist database of handwritten digits

Reference 38

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Celo: Training Versatile Learned Optimizers on a Compute Diet On the Variance of the Adaptive Learning Rate and Beyond

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Celo: Training Versatile Learned Optimizers on a Compute Diet Decoupled Weight Decay Regularization

Reference 40

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Celo: Training Versatile Learned Optimizers on a Compute Diet SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 41

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Celo: Training Versatile Learned Optimizers on a Compute Diet Distinctive image features from scale-invariant keypoints

Reference 42

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Celo: Training Versatile Learned Optimizers on a Compute Diet Learn2hop: Learned optimization on rough landscapes

Reference 43

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Celo: Training Versatile Learned Optimizers on a Compute Diet Pointer Sentinel Mixture Models

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Celo: Training Versatile Learned Optimizers on a Compute Diet Learning unsupervised learning rules

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Celo: Training Versatile Learned Optimizers on a Compute Diet Understanding and correcting pathologies in the training of learned optimizers

Reference 46

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Celo: Training Versatile Learned Optimizers on a Compute Diet Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves

Reference 47

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Celo: Training Versatile Learned Optimizers on a Compute Diet Using a thousand optimization tasks to learn hyperparameter search strategies

Reference 48

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Celo: Training Versatile Learned Optimizers on a Compute Diet Practical tradeoffs between memory, compute, and performance in learned optimizers

Reference 49

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Celo: Training Versatile Learned Optimizers on a Compute Diet VeLO: Training Versatile Learned Optimizers by Scaling Up

Reference 50

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Celo: Training Versatile Learned Optimizers on a Compute Diet Transformers are Sample-Efficient World Models

Reference 51

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Celo: Training Versatile Learned Optimizers on a Compute Diet Learning to optimize with recurrent hierarchical transformers

Reference 52

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Celo: Training Versatile Learned Optimizers on a Compute Diet Reading digits in natural images with unsupervised feature learning

Reference 53

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Celo: Training Versatile Learned Optimizers on a Compute Diet Learning to Learn with Generative Models of Neural Network Checkpoints

Reference 54

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Celo: Training Versatile Learned Optimizers on a Compute Diet Language models are unsupervised multitask learners

Reference 55

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This paper cites Zero: Memory optimizations toward training trillion parameter models.

Celo: Training Versatile Learned Optimizers on a Compute Diet Zero: Memory optimizations toward training trillion parameter models

Reference 56

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Celo: Training Versatile Learned Optimizers on a Compute Diet On the Convergence of Adam and Beyond

Reference 57

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This paper cites Is scaling learned optimizers worth it? evaluating the value of velo’s 4000 tpu months.

Celo: Training Versatile Learned Optimizers on a Compute Diet Is scaling learned optimizers worth it? evaluating the value of velo’s 4000 tpu months

Reference 58

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This paper cites Descending through a crowded valley-benchmarking deep learning optimizers.

Celo: Training Versatile Learned Optimizers on a Compute Diet Descending through a crowded valley-benchmarking deep learning optimizers

Reference 59

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This paper cites DeepOBS: A Deep Learning Optimizer Benchmark Suite.

Celo: Training Versatile Learned Optimizers on a Compute Diet DeepOBS: A Deep Learning Optimizer Benchmark Suite

Reference 60

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Observation 2a1f04b3-8115-4b4d-b601-ecbedbd7bb16 · outbound

This paper cites Bigger, better, faster: Human-level atari with human-level efficiency.

Celo: Training Versatile Learned Optimizers on a Compute Diet Bigger, better, faster: Human-level atari with human-level efficiency

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.054639Z

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Observation 6d95f365-aaec-4855-9621-2eaf84218367 · outbound

This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Celo: Training Versatile Learned Optimizers on a Compute Diet Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.059657Z

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Observation 72640a9c-59e5-45a4-b3a6-8a2c8bcba778 · outbound

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Celo: Training Versatile Learned Optimizers on a Compute Diet Optimizer benchmarking needs to account for hyperparameter tuning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.889744Z

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Observation 93d920cc-f1f6-4104-8c52-0fdea2c638df · outbound

This paper cites Cyclical learning rates for training neural networks.

Celo: Training Versatile Learned Optimizers on a Compute Diet Cyclical learning rates for training neural networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.071224Z

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Observation 64d24621-a0a8-4512-ade1-1d6614ffe4b8 · outbound

This paper cites On the importance of initialization and momentum in deep learning.

Celo: Training Versatile Learned Optimizers on a Compute Diet On the importance of initialization and momentum in deep learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.863206Z

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Observation b1ab3656-22f7-40dc-9422-e110fb928d18 · outbound

This paper cites Tieleman and G.

Celo: Training Versatile Learned Optimizers on a Compute Diet Tieleman and G

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.081475Z

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Observation c47f8654-9495-4b9f-994e-a9ea3647477d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Celo: Training Versatile Learned Optimizers on a Compute Diet LLaMA: Open and Efficient Foundation Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.087641Z

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Observation e12ea885-f51c-4bff-aa99-4009374cf52b · outbound

This paper cites Unbiased gradient estimation in unrolled computation graphs with persistent evolution strategies.

Celo: Training Versatile Learned Optimizers on a Compute Diet Unbiased gradient estimation in unrolled computation graphs with persistent evolution strategies

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.837629Z

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Observation 1e9919f3-6574-49b1-9638-dc1835c74019 · outbound

This paper cites Learned optimizers that scale and generalize.

Celo: Training Versatile Learned Optimizers on a Compute Diet Learned optimizers that scale and generalize

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.821525Z

Source-reported events for the cited work

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Observation 5b2b060e-bf04-495d-9cf1-aa52239067c4 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Celo: Training Versatile Learned Optimizers on a Compute Diet Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.105828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b04b048-e48f-4ce8-aa3e-b94af8b0eab1 · outbound

This paper cites Large Batch Training of Convolutional Networks.

Celo: Training Versatile Learned Optimizers on a Compute Diet Large Batch Training of Convolutional Networks

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.111151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b3ad80-30e7-4a10-ab4c-40270896fe41 · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

Celo: Training Versatile Learned Optimizers on a Compute Diet Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.117099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e65236d-5fe6-4fd5-9870-7367f67e3801 · outbound

This paper cites Adaptive methods for nonconvex optimization.

Celo: Training Versatile Learned Optimizers on a Compute Diet Adaptive methods for nonconvex optimization

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.805624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f8ba4b54-7d4c-4bfa-8772-6a21d548b212 · outbound

This paper cites Adabelief optimizer: Adapting stepsizes by the belief in observed gradients.

Celo: Training Versatile Learned Optimizers on a Compute Diet Adabelief optimizer: Adapting stepsizes by the belief in observed gradients

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:01:14.786685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31444cfb-ab2f-4eb6-a033-0433a745eda7 · outbound

This paper cites write newline.

Celo: Training Versatile Learned Optimizers on a Compute Diet write newline

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:14.132591Z

Source-reported events for the cited work

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