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09/15/2023
Augmenting conformers with structured state space models for online speech recognition
Online speech recognition, where the model only accesses context to the ...
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09/06/2023
Robotic Table Tennis: A Case Study into a High Speed Learning System
We present a deep-dive into a real-world robotic learning system that, i...
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04/01/2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Large foundation models can exhibit unique capabilities depending on the...
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11/25/2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Can we train a single transformer model capable of processing multiple m...
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07/16/2021
Graph Kernel Attention Transformers
We introduce a new class of graph neural networks (GNNs), by combining s...
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01/19/2021
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning
We introduce ES-ENAS, a simple neural architecture search (NAS) algorith...
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09/30/2020
Rethinking Attention with Performers
We introduce Performers, Transformer architectures which can estimate re...
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04/18/2020
CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices
In this paper we propose a new approach for optimization over orthogonal...
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02/03/2020
Effective Diversity in Population-Based Reinforcement Learning
Maintaining a population of solutions has been shown to increase explora...
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06/11/2019
Wasserstein Reinforcement Learning
We propose behavior-driven optimization via Wasserstein distances (WDs) ...
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03/07/2019
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies
Interest in derivative-free optimization (DFO) and "evolutionary strateg...
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04/25/2017
Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
As part of a complete software stack for autonomous driving, NVIDIA has ...
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02/24/2014
