Notable References
- Neural Networks for Pattern Recognition
- Towards Federated Learning at Scale: System Design
- Wide & Deep Learning for Recommender Systems
- Support-Vector Networks
- A Probabilistic Theory of Pattern Recognition
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Collective Communications Library with Various Primitives for Multi-Machine Training (GLOO)
- Caffe2
- Tensor Methods and Recommender Systems
- [A Fully Homomorphic Encryption Scheme](https://crypto.stanford.edu/~e Boneh/courses/cs355/2011/papers/gentrythesis.pdf)
- Matrix Computations
- Introduction to Parallel Computing
- DeepFM: A Factorization-Machine Based Neural Network for CTR Prediction
- Synthetic Trace-Driven Simulation of Cache Memory
- Neural Collaborative Filtering
- NCCL 2.0
- Matrix Factorization Techniques for Recommender Systems
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
- MLPerf
- On the Dimensionality of Embeddings for Sparse Features and Data
- A Comprehensive Survey of Neighborhood-Based Recommendation Methods
- Music Genome Project
- PyTorch: Tensors and Dynamic Neural Networks in Python with Strong GPU Acceleration
- Factorization Machines
- AutoRec: Autoencoders Meet Collaborative Filtering
- Estimation of the Probability of an Event as a Function of Several Independent Variables
- Deep & Cross Network for Ad Click Predictions
- Deep Interest Evolution Network for Click-Through Rate Prediction
- Deep Interest Network for Click-Through Rate Prediction