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I decided to pick some of my favourite research papers from 2022, NOT from my group or my collaborators. Here they are:

Three good bioacoustics research papers from 2022:

1. "Acoustic indices as proxies for biodiversity: a meta-analysis" - a very nicely-done meta-analysis, for anyone wondering about "acoustic indices"!
2. "Automated annotation of birdsong with a neural network that segments spectrograms"
3. "Acoustic species distribution models (aSDMs): A framework to forecast shifts in calling behaviour under climate change" - intriguing and thought-provoking idea of applying distribution models to animal calls in themselves.

Three good AI/deep-learning research papers from 2022:

1. "Transformers learn in-context by gradient descent" - very neat: LLMs are performing unrolled gradient descent?
2. "Git Re-Basin: Merging Models modulo Permutation Symmetries" - exciting possibility of merging trained AIs.
3. "Improving biodiversity protection through artificial intelligence" - excellent novel use of reinforcement learning for biodiversity.

I'd love to hear of recent research papers you appreciated. (Not papers from your own group :) Message me on Mastodon.