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Found 6 papers, 2 papers with code
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks
Maybe the single most important goal of representation learning is making subsequent learning faster.
Aleph: Efficient Atomic Broadcast in Asynchronous Networks with Byzantine Nodes
Virtually every cryptocurrency system has such a protocol at its core, and it is the efficiency of this protocol that determines the overall throughput and latency of the system.
Distributed, Parallel, and Cluster Computing Cryptography and Security
On Latent Distributions Without Finite Mean in Generative Models
We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models.
Learning to SMILE(S)
This paper shows how one can directly apply natural language processing (NLP) methods to classification problems in cheminformatics.
Distribution-Interpolation Trade off in Generative Models
We investigate the properties of multidimensional probability distributions in the context of latent space prior distributions of implicit generative models.
Accidental exploration through value predictors
Infinite length of trajectories is an almost universal assumption in the theoretical foundations of reinforcement learning.
