PaperTik: a TikTok-style feed of computer science papers
PaperTik shows one research paper at a time: its title, authors and abstract. Swipe to the next one, and like the papers you would read. Every like tunes your feed, using SPECTER embeddings of 5,989,528 papers from OpenAlex. No account needed: your likes stay in your browser.
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Most cited papers
- Deep Residual Learning for Image Recognition (2016)
- ImageNet classification with deep convolutional neural networks (2017)
- Long Short-Term Memory (1997)
- Fitting Linear Mixed-Effects Models Using lme4 (2015)
- Adam: A Method for Stochastic Optimization (2014)
- Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (2014)
- Scikit-learn: Machine Learning in Python (2012)
- ImageNet: A large-scale hierarchical image database (2009)
- Gradient-based learning applied to document recognition (1998)
- Image quality assessment: from error visibility to structural similarity (2004)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2016)
- You Only Look Once: Unified, Real-Time Object Detection (2016)
- A fast and elitist multiobjective genetic algorithm: NSGA-II (2002)
- Genetic algorithms in search, optimization, and machine learning (1989)
- Particle swarm optimization (2002)
- Going deeper with convolutions (2015)
- Adaptation in Natural and Artificial Systems (1992)
- Densely Connected Convolutional Networks (2017)
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale (2018)
- Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2013)
- Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2003)
- SciPy 1.0: fundamental algorithms for scientific computing in Python (2020)
- AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading (2009)
- Lecture Notes in Computer Science 1205 (1999)
- Fully convolutional networks for semantic segmentation (2015)
- Visualizing Data using t-SNE (2008)
- Glove: Global Vectors for Word Representation (2014)
- Dropout: a simple way to prevent neural networks from overfitting (2014)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)
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