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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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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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

https://news.1rj.ru/str/DataScienceT ⭐️
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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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Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments

Paper: https://arxiv.org/pdf/2408.10107v1.pdf

Code: https://github.com/hy18284/mixdiff

Datasets: CIFAR-10 || CIFAR-100 || Tiny ImageNet

https://news.1rj.ru/str/DataScienceT ⭐️
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LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Paper: https://arxiv.org/pdf/2407.07895v2.pdf

Code: https://github.com/LLaVA-VL/LLaVA-NeXT

Datasets: ALFRED - ActivityNet-QA - NExT-QA

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