ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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🌟 VADER – video diffusion alignment via reward gradient

VADER is a method for aligning the results of diffusion models for video generation;
VADER allows to improve various models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion using different approaches such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics and others.

🖥 GitHub
🟡 VADER page

🌐 https://news.1rj.ru/str/DataScienceT ⭐️
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Paper Name: The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Paper: https://arxiv.org/pdf/2408.06292v2.pdf

Code: https://github.com/sakanaai/ai-scientist

🌐 https://news.1rj.ru/str/DataScienceT ⭐️
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Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

Paper: https://arxiv.org/pdf/2408.01648v1.pdf

Code: https://github.com/AngeLouCN/SAM-2_Surgical_Video

https://news.1rj.ru/str/DataScienceT ⭐️
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MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Paper: https://arxiv.org/pdf/2408.02900v1.pdf

Code: https://github.com/UCSC-VLAA/MedTrinity-25M

Datasets: https://yunfeixie233.github.io/MedTrinity-25M/

https://news.1rj.ru/str/DataScienceT ⭐️
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DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Paper: https://arxiv.org/pdf/2408.08152v1.pdf

Code: https://github.com/deepseek-ai/deepseek-prover-v1.5

Datasets: https://github.com/zhangir-azerbayev/ProofNet

https://news.1rj.ru/str/DataScienceT ⭐️
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MambaMIM: Pre-training Mamba with State Space Token-interpolation

Paper: https://arxiv.org/pdf/2408.08070v1.pdf

Code: https://github.com/fenghetan9/mambamim

https://news.1rj.ru/str/DataScienceT ⭐️
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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Paper: https://arxiv.org/pdf/2408.06292v2.pdf

Code: https://github.com/sakanaai/ai-scientist

https://news.1rj.ru/str/DataScienceT ⭐️
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ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Paper: https://arxiv.org/pdf/2408.06070v2.pdf

Code: https://github.com/dvlab-research/controlnext

Datasets: https://laion.ai/blog/laion-5b/

https://news.1rj.ru/str/DataScienceT ⭐️
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