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11/28/2022
Continuous diffusion for categorical data
Diffusion models have quickly become the go-to paradigm for generative m...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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02/08/2022
Competition-Level Code Generation with AlphaCode
Programming is a powerful and ubiquitous problem-solving tool. Developin...
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04/12/2021
Machine Translation Decoding beyond Beam Search
Beam search is the go-to method for decoding auto-regressive machine tra...
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06/04/2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL
We propose a novel hierarchical agent architecture for multi-agent reinf...
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01/11/2018
Improved asynchronous parallel optimization analysis for stochastic incremental methods
As datasets continue to increase in size and multi-core computer archite...
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07/20/2017
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Due to their simplicity and excellent performance, parallel asynchronous...
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06/14/2017
SEARNN: Training RNNs with Global-Local Losses
We propose SEARNN, a novel training algorithm for recurrent neural netwo...
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06/15/2016