Papershelf

A collection of papers I’ve read and found interesting, with my notes and thoughts.

• A Neural Probabilistic Language Model

  JMLR
  2003

  word-embeddings neural-networks language-modeling nlp foundational

  PDF

• Billion-scale similarity search with GPUs

  IEEE Transactions on Big Data
  2017

  gpu similarity-search nearest-neighbor faiss high-performance-computing

  PDF

• LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

  arXiv 2026
  2026

  llm edge-deployment mobile npu gpu inference

  PDF

• Sequence to Sequence Learning with Neural Networks

  NIPS
  2014

  seq2seq lstm machine-translation encoder-decoder nlp foundational

  PDF