Doug Fritz
Information Systems · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Computer Networks and Communications — 5 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Doug Fritz trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Christen (in Computer Networks and Communications)
Papers from Doug Fritz's perspective
Ordered by how strongly the researchers Doug Fritz trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Asynchronous Methods for Deep Reinforcement Learning
- Training Products of Experts by Minimizing Contrastive Divergence
- Deep Learning
- Training Compute-Optimal Large Language Models (Advances in Neural Information Processing Systems 35)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- The Curious Case of Neural Text Degeneration
Their papers
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
- Improving alignment of dialogue agents via targeted human judgements (2022) — 676 citations
- Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow (2018) — 348 citations