Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Dissecting vocabulary biases in Natural Language Inference datasets through Statistical testing approach and Automated data augmentation for artifact mitigation

🖥 Github: https://github.com/datngu/nli-artifacts

📕 Paper: https://arxiv.org/pdf/2312.08747v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/snli

Tasks: https://paperswithcode.com/task/data-augmentation

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Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting

🖥 Github: https://github.com/junwuzhang19/repaint123

📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/nerf

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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

🖥 Github: https://github.com/OpenDriveLab/LaneSegNet

📕 Paper: https://arxiv.org/abs/2312.16108v1

🔥Datasets: https://paperswithcode.com/dataset/openlane-v2


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