Marktechpost

DECEMBER 14, 2024

With topics ranging from neural networks to graph models, these open-source notebooks enable hands-on learning and bridge the gap between research and education. The notebook “ Neural Networks with NumPy ” introduces the foundational concepts of neural networks and demonstrates their implementation using NumPy.

Deep Learning 79

Deep Learning Machine Learning Neural Network Explainability 79

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). Pre-trained models were applied in many different domains and started to be considered critical for ML research [1]. 8) ML for Science The architecture of AlphaFold 2.0. Credit for the title image: Liu et al. What happened?  

NLP 52

NLP ML BERT Computational Linguistics 52

Marktechpost

AUGUST 15, 2024

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Neural network models based on word embeddings and sequence models have shown promise in enhancing metaphor recognition capabilities.

NLP 60

NLP Large Language Models Computational Linguistics Neural Network 60

The Stanford AI Lab Blog

OCTOBER 13, 2021

This makes selective classification a compelling tool for ML practitioners 6 7. In Proceedings of the IEEE International Conference on Computer Vision, pp. Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization. Hashimoto, and Percy Liang.

Neural Network 40

Neural Network Machine Learning Computational Linguistics Deep Learning 40

Sebastian Ruder

FEBRUARY 23, 2023

Computation Function We consider a neural network $f_theta$ as a composition of functions $f_{theta_1} odot f_{theta_2} odot ldots odot f_{theta_l}$, each with their own set of parameters $theta_i$. d) Hypernetwork: A small separate neural network generates modular parameters conditioned on metadata.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. Words like “Descent”, “Average”, etc. are assigned a negative label.

BERT 52

BERT Natural Language Processing ML Deep Learning 52

Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. C++’s main advantage is its speed, which allows it to do complex computations more quickly, which is vital for AI development.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52