R.I.P.
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Ghosted
⚰️ Papers With No Code ⚰️
"Where code promises go to die."
368.6K
Total Tracked
303.9K
Code Unavailable
30.7K
Twilight
3.8K
Ethereal
30.2K
Code Available
8.2%
Survival Rate
⚱️ Freshly Buried
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One-step Diffusion with Distribution Matching Distillation
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Scalable Extraction of Training Data from (Production) Language Models
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Mip-Splatting: Alias-free 3D Gaussian Splatting
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Detecting Language Model Attacks with Perplexity
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A Survey of Hallucination in Large Foundation Models
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Corona: System Implications of Emerging Nanophotonic Technology
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DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
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Multi-step Jailbreaking Privacy Attacks on ChatGPT
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Successful Combination of Database Search and Snowballing for Identification of Primary Studies in Systematic Literature Studies
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Large Language Models for Generative Information Extraction: A Survey
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Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
💀 Hall of Shame
Most cited papers with no code. The bigger they are, the harder they fall.
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Language Models are Few-Shot Learners
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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XGBoost: A Scalable Tree Boosting System
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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You Only Look Once: Unified, Real-Time Object Detection
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Semi-Supervised Classification with Graph Convolutional Networks
🌅 The Twilight Zone
Pioneers from the pre-code-sharing era. Too influential to shame, too old to expect a repo.
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Old Age
Deep Residual Learning for Image Recognition
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Attention Is All You Need
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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SSD: Single Shot MultiBox Detector
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Squeeze-and-Excitation Networks
🌅 The Resurrection Corner
Papers that finally released their code. There is hope! 🎉