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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BadMerging: Backdoor Attacks Against Model Merging

Paper: https://arxiv.org/pdf/2408.07362v1.pdf

Code: https://github.com/jzhang538/badmerging

Datasets: ImageNet ||CIFAR-100 || SVHN || EuroSAT

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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://t.me/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/

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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://t.me/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

https://t.me/DataScienceT ⭐️
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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

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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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Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

πŸ–₯ Github: https://github.com/tencent-ailab/hokoff

πŸ“• Paper: https://arxiv.org/abs/2408.10556v1

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Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper: https://arxiv.org/pdf/2408.12528v1.pdf

Code: https://github.com/showlab/show-o

Dataset: ImageNet

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