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Found 9 papers, 5 papers with code
Evaluating The Impact Of Species Specialisation On Ecological Network Robustness Using Analytic Methods
We have also extended the model to predict scenarios in which secondary extinctions occur once species lose a certain percentage of interaction strength, and to model the loss of interactions as opposed to just species extinction.
Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the southeastern United States
Given the farm-to-farm proximity in high pig production areas, local transmission is an important pathway in the spread of PRRSV; however, there is limited understanding of the role local transmission plays in the dissemination of PRRSV, specifically, the distance at which there is increased risk for transmission from infected to susceptible farms.
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
One such mechanism is order fraud evaluation, where systems evaluate orders for fraud risk, and either "pass" the order, or take an action to mitigate high risk.
Unified Scaling Laws for Routed Language Models
The performance of a language model has been shown to be effectively modeled as a power-law in its parameter count.
Improving language models by retrieving from trillions of tokens
We enhance auto-regressive language models by conditioning on document chunks retrieved from a large corpus, based on local similarity with preceding tokens.
Ranked #1 on
Language Modelling
on WikiText-103
(using extra training data)
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
Ranked #1 on
Language Modelling
on StackExchange
TF-Replicator: Distributed Machine Learning for Researchers
We describe TF-Replicator, a framework for distributed machine learning designed for DeepMind researchers and implemented as an abstraction over TensorFlow.
Engineering Record And Replay For Deployability: Extended Technical Report
With some novel optimizations, our system 'rr' records and replays real-world low-parallelism workloads with low overhead, with an entirely user-space implementation, using stock hardware, compilers, runtimes and operating systems.
Programming Languages
