Artificial Intelligence
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Artificial Intelligence

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Artificial Intelligence
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Artificial Intelligence
Local Topological Profile (LTP)

πŸ–₯ Github: https://github.com/j-adamczyk/ltp

⏩ Paper: https://arxiv.org/pdf/2305.00724v1.pdf

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

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Artificial Intelligence
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TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding

πŸ–₯ Github: https://github.com/prismformore/multi-task-transformer

⏩ Paper: https://openreview.net/pdf?id=-CwPopPJda

πŸ’¨ Dataset: https://paperswithcode.com/dataset/cityscapes-3d

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Artificial Intelligence
Discover and Cure: Concept-aware Mitigation of Spurious Correlation

πŸ–₯ Github: https://github.com/wuyxin/disc

⏩ Paper: https://arxiv.org/pdf/2305.00650v1.pdf

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

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Artificial Intelligence
Shotgun crystal structure prediction using machine-learned formation energies

πŸ–₯ Github: https://github.com/yoshida-lab/XenonPy/blob/master/samples/CSP_with_element_substitution.ipynb

⏩ Paper: https://arxiv.org/pdf/2305.02158v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/materials-project

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Artificial Intelligence
Multimodal Data Augmentation for Image Captioning using Diffusion Models

πŸ–₯ Github: https://github.com/xiaochr/multimodal-augmentation-image-captioning

⏩ Paper: https://arxiv.org/pdf/2305.01855v1.pdf

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

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Artificial Intelligence
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

πŸ–₯ Github: https://github.com/daochenzha/neuroshard

⏩ Paper: https://arxiv.org/pdf/2305.01868v1.pdf


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Artificial Intelligence
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity

πŸ–₯ Github: https://github.com/fe1ixxu/stratified_mixture_of_experts

⏩ Paper: https://arxiv.org/pdf/2305.02176v1.pdf

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

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Artificial Intelligence
Hybrid and Collaborative Passage Reranking

πŸ–₯ Github: https://github.com/zmzhang2000/hybrank

⏩ Paper: https://arxiv.org/pdf/2305.09313v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/natural-questions

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Artificial Intelligence
Dynamic Sparse Training with Structured Sparsity

πŸ–₯ Github: https://github.com/calgaryml/condensed-sparsity

⏩ Paper: https://arxiv.org/pdf/2305.02299v1.pdf

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

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Artificial Intelligence
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow

πŸ–₯ Github: https://github.com/gudovskiy/flowenedet

⏩ Paper: https://arxiv.org/pdf/2305.09610v1.pdf

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

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Artificial Intelligence
Online Continual Learning Without the Storage Constraint

πŸ–₯ Github: https://github.com/drimpossible/acm

⏩ Paper: https://arxiv.org/pdf/2305.09253v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/yfcc100m

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Artificial Intelligence
Pre-Training to Learn in Context

πŸ–₯ Github: https://github.com/thu-coai/picl

⏩ Paper: https://arxiv.org/pdf/2305.09137v1.pdf

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

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Artificial Intelligence
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DB-Football

πŸ–₯ Github: https://github.com/shanghai-digital-brain-laboratory/db-football

⏩ Paper: https://arxiv.org/pdf/2305.09458v1.pdf


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Artificial Intelligence
LGTM

πŸ–₯ Github: https://github.com/twinkle0331/lgtm

⏩ Paper: https://arxiv.org/pdf/2305.09651v1.pdf

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

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Artificial Intelligence
SSSegmenation

πŸ–₯ Github: https://github.com/segmentationblwx/sssegmentation

⏩ Paper: https://arxiv.org/pdf/2305.17091v1.pdf

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

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Artificial Intelligence
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

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Artificial Intelligence
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

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Artificial Intelligence
Jax OffBench

πŸ–₯ Github: https://github.com/sail-sg/offbench

⏩ Paper: https://arxiv.org/pdf/2306.00972v1.pdf

πŸ’¨ Dataset: https://paperswithcode.com/dataset/d4rl

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Artificial Intelligence
TabEAE

πŸ–₯ Github: https://github.com/stardust-hyx/tabeae

⏩ Paper: https://arxiv.org/pdf/2306.00502v1.pdf

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

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Artificial Intelligence
(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

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