R.I.P.
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⚰️ Papers With No Code ⚰️
"Where code promises go to die."
398.4K
Total Tracked
297.5K
Code Unavailable
30.7K
Twilight
3.9K
Ethereal
66.4K
Code Available
16.7%
Survival Rate
⚱️ Freshly Buried
R.I.P.
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Latent Dirichlet Transformer VAE for Hyperspectral Unmixing with Bundled Endmembers
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Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
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Predicting the Emergence of Induction Heads in Language Model Pretraining
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Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
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Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization
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Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
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Transfer Learning of Linear Regression with Multiple Pretrained Models: Benefiting from More Pretrained Models via Overparameterization Debiasing
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KRAL: Knowledge and Reasoning Augmented Learning for LLM-assisted Clinical Antimicrobial Therapy
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Reasoning Meets Representation: Envisioning Neuro-Symbolic Wireless Foundation Models
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ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
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Data-Driven Predictive Modeling of Microfluidic Cancer Cell Separation Using a Deterministic Lateral Displacement Device
💀 Hall of Shame
Most cited papers with no code. The bigger they are, the harder they fall.
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Death by README
Momentum Contrast for Unsupervised Visual Representation Learning
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Federated Learning: Strategies for Improving Communication Efficiency
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In-Datacenter Performance Analysis of a Tensor Processing Unit
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
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Explanation in Artificial Intelligence: Insights from the Social Sciences
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Equality of Opportunity in Supervised Learning
🌅 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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The Ethereal
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Old Age
SSD: Single Shot MultiBox Detector
🌅 The Resurrection Corner
Papers that finally released their code. There is hope! 🎉