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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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://news.1rj.ru/str/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

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

https://news.1rj.ru/str/DataScienceT ⭐️
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Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks

🖥 Github: https://github.com/tencent-ailab/hokoff

📕 Paper: https://arxiv.org/abs/2408.10556v1

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

https://news.1rj.ru/str/DataScienceT ⭐️
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On the Benefits of Visual Stabilization for Frame- and Event-based Perception

Paper: https://arxiv.org/pdf/2408.15602v1.pdf

Code: https://github.com/tub-rip/visual_stabilization

https://news.1rj.ru/str/DataScienceT ⭐️
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GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting

Paper: https://arxiv.org/pdf/2408.11447v1.pdf

Code: https://github.com/ganwanshui/gaussianocc

Datasets: NeRF | nuScenes

https://news.1rj.ru/str/DataScienceT ⭐️
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Paper: Scalable Autoregressive Image Generation with Mamba

Paper: https://arxiv.org/pdf/2408.12245v1.pdf

Code: https://github.com/hp-l33/aim

Dataset: ImageNet

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