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Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges
These are the proceedings of the 5th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) on December 14th, 2021.
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
We describe how the corpus was created and curated as well as preliminary experiments with accent classification and learning Nigerian accent embeddings.
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience
These are the proceedings of the 4th workshop on Machine Learning for the Developing World (ML4D), held as part of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) on Saturday, December 12th 2020.
Differentiable Histogram with Hard-Binning
The simplicity and expressiveness of a histogram render it a useful feature in different contexts including deep learning.
Agent Probing Interaction Policies
Reinforcement learning in a multi agent system is difficult because these systems are inherently non-stationary in nature.
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation
It is expensive to generate real-life image labels and there is a domain gap between real-life and simulated images, hence a model trained on the latter cannot adapt to the former.
