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@@ -195,7 +195,7 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
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| 6) **Open Problems in Applied Deep Learning** - If you're looking for interesting open problems in DL, this is a good reference. Not sure if intentional but it also looks useful to get a general picture of current trends in deep learning with ~300 references. | [Paper](https://arxiv.org/abs/2301.11316) , [Tweet](https://twitter.com/dair_ai/status/1619719063915339777?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 7) **DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature** - an approach for zero-shot machine-generated text detection. Uses raw log probabilities from the LLM to determine if the passage was sampled from it. | [Paper](https://arxiv.org/abs/2301.11305), [Tweet](https://twitter.com/dair_ai/status/1619719169758613504?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 8) **StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis** - a new model that aims to regain the competitiveness of GANs for fast large-scale text-to-image synthesis. | [Paper](https://arxiv.org/abs/2301.09515), [Project](https://sites.google.com/view/stylegan-t/), [Code](https://github.com/autonomousvision/stylegan-t) [Tweet](https://twitter.com/dair_ai/status/1619719293779976193?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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-| 9) **StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis** - an LLM that can generate protein sequences with a predictable function across large protein families. | [Paper](https://www.nature.com/articles/s41587-022-01618-2), [Tweet](https://twitter.com/dair_ai/status/1619719404618645511?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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+| 9) **Large language models generate functional protein sequences across diverse families** - an LLM that can generate protein sequences with a predictable function across large protein families. | [Paper](https://www.nature.com/articles/s41587-022-01618-2), [Tweet](https://twitter.com/dair_ai/status/1619719404618645511?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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| 10) **The Impossibility of Parallelizing Boosting** - investigates the possibility of parallelizing boosting. | [Paper](https://arxiv.org/abs/2301.09627), [Tweet](https://twitter.com/dair_ai/status/1619719511867015168?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
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Steven Van Vaerenbergh