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Preparing the Vuk'uzenzele and ZA-gov-multilingual South African Multilingual Corpora
This paper introduces two multilingual government themed corpora in various South African languages. The corpora were collected by …
Richard Lastrucci
,
Isheanesu Dzingirai
,
Jenalea Rajab
,
Andani Madodonga
,
Matimba Shingange
,
Daniel Njini
,
Vukosi Marivate
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A Framework for Grassroots Research Collaboration in Machine Learning and Global Health
Traditional top-down approaches for global health have historically failed to achieve social progress (Hoffman et al., 2015; Hoffman …
Christopher Currin
,
Mercy Asiedu
,
Chris Fourie
,
Benjamin Rosman
,
Houcemeddine Turki
,
Atnafu Tonja
,
Jade Abbott
,
Marvellous Ajala
,
Sadiq Adedayo
,
Chris Emezue
,
Daphne Machangara
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End-to-End Learning to Follow Language Instructions with Compositional Policies
We develop an end-to-end model for learning to follow language instructions with compositional policies. Our model combines large …
Vanya Cohen
,
Geraud Nangue Tasse
,
Nakul Gopalan
,
Steven James
,
Raymond Mooney
,
Benjamin Rosman
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Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
Geraud Nangue Tasse
,
Devon Jarvis
,
Steven James
,
Benjamin Rosman
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Project
Participatory Translations of Oshiwambo: Towards Culture Preservation with Language Technology
In this paper, we describe a participatory, collaborative, and cost-effective process for creating translations in Oshiwambo, the most …
Wilhelmina Onyothi Nekoto
,
Julia Kreutzer
,
Jenalea Rajab
,
Millicent Ochieng
,
Jade Abbott
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Augmentative Topology Agents For Open-ended Learning
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly …
Muhammad Umair Nasir
,
Steven James
,
Christopher Cleghorn
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Video
Supplementary Material
Facilitating Safe Sim-to-Real through Simulator Abstraction and Zero-shot Task Composition
Simulators are a fundamental part of training robots to solve complex control and navigation tasks. This is due to the speed and safety …
Tamlin Love
,
Devon Jarvis
,
Geraud Nangue Tasse
,
Branden Ingram
,
Steven James
,
Benjamin Rosman
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Project
Video
Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
Geraud Nangue Tasse
,
Devon Jarvis
,
Steven James
,
Benjamin Rosman
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Project
Video
Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules
Sparse neural networks have various computational benefits while often being able to maintain or improve the generalization performance …
Kale-ab Tessera
,
Chiratidzo Matowe
,
Arnu Pretorius
,
Benjamin Rosman
,
Sara Hooker
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World Value Functions: Knowledge Representation for Learning and Planning
We propose world value functions (WVFs), a type of goaloriented general value function that represents how to solve not just a given …
Geraud Nangue Tasse
,
Benjamin Rosman
,
Steven James
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