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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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

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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/

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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

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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

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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

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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/

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Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining

Paper: https://arxiv.org/pdf/2408.02657v1.pdf

Code: https://github.com/alpha-vllm/lumina-mgpt || https://github.com/alpha-vllm/lumina-t2x

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Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Paper: https://arxiv.org/pdf/2406.03877v2.pdf

Code: https://github.com/Thinklab-SJTU/Bench2Drive

Datasets: nuScenes || CARLA

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