Artificial Intelligence
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Artificial Intelligence

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Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets

πŸ–₯ Github: https://github.com/cownowan/dass

⏩ Paper: https://arxiv.org/pdf/2305.16948v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/cub-200-2011

@ArtificialIntelligencedl
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Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction

πŸ–₯ Github: https://github.com/chaytonmin/occ-bev

⏩ Paper: https://arxiv.org/pdf/2305.18829v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/imagenet

@ArtificialIntelligencedl
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(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy

πŸ–₯ Github: https://github.com/erosenfeld/disagree_discrep

⏩ Paper: https://arxiv.org/pdf/2306.00312v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/cifar-10

@ArtificialIntelligencedl
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BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image

πŸ–₯ Github: https://github.com/chtsy/buol

⏩ Paper: https://arxiv.org/pdf/2306.00965v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/matterport3d

@ArtificialIntelligencedl
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Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement
at 100k Steps-Per-Second


πŸ–₯ Github: https://github.com/facebookresearch/galactic

⏩ Paper: https://arxiv.org/pdf/2306.07552v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/vizdoom

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Semi-supervised learning made simple with self-supervised clustering [CVPR 2023]

πŸ–₯ Github: https://github.com/pietroastolfi/suave-daino

⏩ Paper: https://arxiv.org/pdf/2306.07483v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/imagenet

@ArtificialIntelligencedl
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Semi-supervised learning made simple with self-supervised clustering [CVPR 2023]

πŸ–₯ Github: https://github.com/Ruixinhua/ExplainableNRS

⏩ Paper: https://arxiv.org/pdf/2306.07506v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/mind

@ArtificialIntelligencedl
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LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning

πŸ–₯ Github: https://github.com/efficienttraining/labelbench

⏩ Paper: https://arxiv.org/pdf/2306.09910v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/cifar-10

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PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation

πŸ–₯ Github: https://github.com/jieqianyu/panet

⏩ Paper: https://arxiv.org/pdf/2306.15348v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/kitti

@ArtificialIntelligencedl
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CellViT: Vision Transformers for Precise Cell Segmentation and Classification

πŸ–₯ Github: https://github.com/tio-ikim/cellvit

⏩ Paper: https://arxiv.org/pdf/2306.15350v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/pannuke

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