21-09-2022 Daily Reading Log
Updated:
Due to my business life, I could not find time to read, write and produce for a long time. During this time, besides the tiredness of business life, I took some time to listen to myself. That’s why I decided to write my first blog post Creating and producing time. During this time, I share the contents that I read and take notes without any date information. I did not have the chance to read much, but I can say that the contents I read contributed a lot to my knowledge.
- Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation
- Pretrained Transformers as Universal Computation Engines
- Branch Specialization
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Hybrid Modeling
- Maximum Likelihood Estimation
- Academic freedom, academic integrity, and ethical review in NLP
- REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
- Maximum likelihood estimation for the regression parameters
- Organize and Document your Machine Learning (or any) Research Project with Notion
- Estimating Custom Maximum Likelihood Models in Python (and Matlab)
- 76. Maximum Likelihood Estimation¶
- Generalized Language Models
- Accelerating NLP through research awards and more
- Reducing Toxicity in Language Models
- XOR-TyDi Cross-lingual Open-Retrieval Question Answering