⚰️ Papers With No Code ⚰️
"Where code promises go to die."
395.8K
Total Tracked
297.5K
Code Unavailable
31.2K
Twilight
3.9K
Ethereal
63.2K
Code Available
16.0%
Survival Rate
⚱️ Freshly Buried
R.I.P.
👻
Ghosted
R.I.P.
👻
Ghosted
Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites
R.I.P.
👻
Ghosted
DepthFocus: Controllable Depth Estimation for See-Through Scenes
R.I.P.
👻
Ghosted
LLMs-based Augmentation for Domain Adaptation in Long-tailed Food Datasets
R.I.P.
👻
Ghosted
CLLMRec: LLM-powered Cognitive-Aware Concept Recommendation via Semantic Alignment and Prerequisite Knowledge Distillation
R.I.P.
👻
Ghosted
Why Do Language Model Agents Whistleblow?
R.I.P.
👻
Ghosted
Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
R.I.P.
👻
Ghosted
Towards fully differentiable neural ocean model with Veros
R.I.P.
👻
Ghosted
DelTriC: A Novel Clustering Method with Accurate Outlier
R.I.P.
👻
Ghosted
Predicting Talent Breakout Rate using Twitter and TV data
R.I.P.
👻
Ghosted
Can MLLMs Read the Room? A Multimodal Benchmark for Assessing Deception in Multi-Party Social Interactions
R.I.P.
👻
Ghosted
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
💀 Hall of Shame
Most cited papers with no code. The bigger they are, the harder they fall.
R.I.P.
📜
Death by README
Momentum Contrast for Unsupervised Visual Representation Learning
R.I.P.
👻
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
👻
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
👻
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
👻
Ghosted
Explanation in Artificial Intelligence: Insights from the Social Sciences
R.I.P.
👻
Ghosted
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.
🌅
🌅
Old Age
Deep Residual Learning for Image Recognition
🌅
🌅
Old Age
Attention Is All You Need
🌅
🌅
Old Age
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
🌅
🌅
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
🔮
🔮
The Ethereal
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
🌅
🌅
Old Age
SSD: Single Shot MultiBox Detector
🌅 The Resurrection Corner
Papers that finally released their code. There is hope! 🎉