Online multi task reinforcement learning is Hard Mode.
MACHINE LEARNING
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OpenAI’s o1 still can’t plan reliably but is a massive leap forward
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Paper read – OpenAI's o1 still can't plan reliably – but is still a massive leap forward Can OpenAI's o1 actually plan and reason, as claimed in its release? Researchers put it to the test using PlanBench, a planning benchmark that has stumped even the best language
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Sapiens: Meta’s New Human-Centric Vision Model Family
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Sapiens, a powerful new model family from Meta Reality Labs, has been introduced for human-centric vision tasks such as 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction.
— Satya Mallick (@LearnOpenCV) 24 septembre 2024
Human Vision Models like Sapiens are game changers in Metaverse,… pic.twitter.com/4TuOUpgkLISapiens, a powerful new model family from Meta Reality Labs, has been introduced for human-centric vision tasks such as 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Human Vision Models like Sapiens are game changers in Metaverse,
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New paper evaluates VLMs for meme detection, releases dataset
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Now finally someone decides to take on the hard problems! > A new paper evaluates the ability of VLMs to detect memes! Of course, they also release a dataset of memes to test models!
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Distributed Layer Replication Improves Neural Network Output Quality
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Yeah I agree. When you replicate entire blocks of several layers, the input/output difference dramatically changes, which might degrade the quality of the final output. Replicating individual layers in a distributed way tries to address this issue.
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Echo Merge: Optimizing Layer Replication in AI Models
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For the echo merge, the idea is that self-merges might be slightly "insane" because replicating blocks of several layers disrupts the information flow. By only replicating individual layers in a distributed way, I'm trying to minimize the input/output difference they introduce.
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Echo Merge Experiment Tests Self-Merge Information Flow
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I don't expect it to have superior performance in general, but in some narrow domains. The echo merge is an experiment to check if the "insanity" of these self-merges comes from a broken information flow.
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AlphaFold Citation Laureate Recognition Honors Life Sciences Impact
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Great to be honoured as a Citation Laureate, and more importantly, it’s a testament to the amazing impact #AlphaFold has had on the life sciences. https://t.co/ZJ6GRnNd39
— Demis Hassabis (@demishassabis) 24 septembre 2024Great to be honoured as a Citation Laureate, and more importantly, it’s a testament to the amazing impact #AlphaFold has had on the life sciences.
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NU-NeRF: Neural Reconstruction of Transparent Objects
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NU-NeRF: Neural Reconstruction of Nested Transparent Objects with Uncontrolled Capture Environmenthttps://t.co/N8N1jPJw0f
— 机器之心 JIQIZHIXIN (@jiqizhixin) 24 septembre 2024
we propose NU-NeRF to reconstruct nested complex transparent objects requiring no dedicated capture environment or additional input. pic.twitter.com/5niYEmnxRdNU-NeRF: Neural Reconstruction of Nested Transparent Objects with Uncontrolled Capture Environment http://
geometrylearning.com/NU-NeRF/ we propose NU-NeRF to reconstruct nested complex transparent objects requiring no dedicated capture environment or additional input. -
Google Zero-shot Cross-lingual Voice Transfer for TTS
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Google presents Zero-shot Cross-lingual Voice Transfer for TTS discuss: https://
huggingface.co/papers/2409.13
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… In this paper, we introduce a zero-shot Voice Transfer (VT) module that can be seamlessly integrated into a multi-lingual Text-to-speech (TTS) system to transfer an individual's