AI Resources - Papers/Blogs/Articles
a. Papers
i. Vision
- ImageNet Classification with Deep Convolutional Neural Networks
- Visualizing and Understanding Convolutional Networks
- High-Speed Tracking with Kernelized Correlation Filters
- You Only Look Once (YOLO): Unified, Real-Time Object Detection
- YOLO9000: Better, Faster, Stronger
- SSD: Single Shot MultiBox Detector
- Deep Residual Learning for Image Recognition (ResNet)
- Large-scale Video Classification with Convolutional Neural Networks
- A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
ii. NLP
- Word2Vec: Efficient Estimation of Word Representations in Vector Space
- GloVe: Global Vectors for Word Representation
- FastText: Enriching Word Vectors with Subword Information
- Sequence to Sequence Learning with Neural Networks (Seq2Seq)
- Attention Is All You Need (Transformers)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- XLNet: Generalized Autoregressive Pretraining for Language Understanding
- GPT-3: Language Models are Few-Shot Learners
- PaLM: Scaling Language Modeling with Pathways