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05/22/2023
Neural Functional Transformers
The recent success of neural networks as implicit representation of data...
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12/24/2022
Deep Latent State Space Models for Time-Series Generation
Methods based on ordinary differential equations (ODEs) are widely used ...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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06/14/2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Training on web-scale data can take months. But most computation and tim...
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05/30/2022
Multi-Game Decision Transformers
A longstanding goal of the field of AI is a strategy for compiling diver...
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04/15/2022
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Many patterns in nature exhibit self-similarity: they can be compactly d...
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07/06/2021
Prioritized training on points that are learnable, worth learning, and not yet learned
We introduce Goldilocks Selection, a technique for faster model training...
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02/12/2021