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06/14/2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Whereas machine learning models typically learn language by directly tra...
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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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02/27/2023
Permutation Equivariant Neural Functionals
This work studies the design of neural networks that can process the wei...
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01/18/2023
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
Expert demonstrations are a rich source of supervision for training visu...
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12/07/2022
Unsupervised language models for disease variant prediction
There is considerable interest in predicting the pathogenicity of protei...
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10/25/2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
There is an inescapable long-tailed class-imbalance issue in many real-w...
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12/06/2021
Noether Networks: Meta-Learning Useful Conserved Quantities
Progress in machine learning (ML) stems from a combination of data avail...
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03/24/2021
Discriminator Augmented Model-Based Reinforcement Learning
By planning through a learned dynamics model, model-based reinforcement ...
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07/06/2020
Meta-Learning Symmetries by Reparameterization
Many successful deep learning architectures are equivariant to certain t...
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06/07/2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Imitation learning allows agents to learn complex behaviors from demonst...
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09/01/2018
Cost Functions for Robot Motion Style
We focus on autonomously generating robot motion for day to day physical...
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02/05/2018