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09/19/2023
Language Modeling Is Compression
It has long been established that predictive models can be transformed i...
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05/26/2023
Randomized Positional Encodings Boost Length Generalization of Transformers
Transformers have impressive generalization capabilities on tasks with a...
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02/06/2023
Memory-Based Meta-Learning on Non-Stationary Distributions
Memory-based meta-learning is a technique for approximating Bayes-optima...
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09/30/2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Meta-training agents with memory has been shown to culminate in Bayes-op...
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07/05/2022
Neural Networks and the Chomsky Hierarchy
Reliable generalization lies at the heart of safe ML and AI. However, un...
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11/26/2021
Latent Space Smoothing for Individually Fair Representations
Fair representation learning encodes user data to ensure fairness and ut...
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06/10/2021
Fair Normalizing Flows
Fair representation learning is an attractive approach that promises fai...
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03/30/2021
Robustness Certification for Point Cloud Models
The use of deep 3D point cloud models in safety-critical applications, s...
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09/19/2020
Efficient Certification of Spatial Robustness
Recent work has exposed the vulnerability of computer vision models to s...
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02/24/2020
