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Internship Report: Hangqian Li

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Related lectures (37)

Natural Language Processing: Understanding Transformers and Tokenization Log in to Mediaspace to watch this video

Provides an overview of Natural Language Processing, focusing on transformers, tokenization, and self-attention mechanisms for effective language analysis and synthesis.

Transformer Architecture: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Model Analysis Log in to Mediaspace to watch this video

Explores neural model analysis in NLP, covering evaluation, probing, and ablation studies to understand model behavior and interpretability.

Compositional Representations and Systematic Generalization Log in to Mediaspace to watch this video

Examines systematicity, compositionality, neural network challenges, and unsupervised learning in NLP.

Protein Structure Prediction: AlphaFold Evolution and OpenFold Insights Log in to Mediaspace to watch this video

Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.

Deep Learning: Exploring Vision and Language Transformers Log in to Mediaspace to watch this video

Covers advanced transformer architectures in deep learning, focusing on Swin, HUBERT, and Flamingo models for multimodal applications.

Words Tokens: Lexical Level Overview Log in to Mediaspace to watch this video

Explores words, tokens, and language models in NLP, covering challenges in defining them, lexicon usage, n-grams, and probability estimation.

Machine Learning: Supervised and Unsupervised Learning Techniques Log in to Mediaspace to watch this video

Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning Log in to Mediaspace to watch this video

Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.

Coreference Resolution Log in to Mediaspace to watch this video

Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.

Question Answering: Deep Learning Insights Log in to Mediaspace to watch this video

Explores question answering systems, reading comprehension models, and the challenges in achieving accurate responses.

Parsing: CYK Algorithm Log in to Mediaspace to watch this video

Explores formal grammars, parsing algorithms, CYK algorithm efficiency, and syntactic correctness in Natural Language Processing.

Shape from Shading: Recovering 3D Information from 2D Images Log in to Mediaspace to watch this video

Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.

Delineation: Techniques and Applications Log in to Mediaspace to watch this video

Explores techniques for delineation, including Hough transform, gradient orientation, and shape detection, emphasizing the importance of combining graph-based techniques and machine learning.

Computer Vision History Recap Log in to Mediaspace to watch this video

Offers a historical overview of computer vision, exploring key developments and influential figures in the field.

Vision-Based Quadrotor Navigation Log in to Mediaspace to watch this video

Discusses quadrotor navigation using deep reinforcement learning and low-level control, focusing on visual intelligence and gaze model robustness.

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