Fernando Silva

on the atlas — 41

• A (Long) Peek into Reinforcement Learning | Lil'Log10 savers
• CodaLab Worksheets5 savers
• The Promise of Hierarchical Reinforcement Learning2 savers
• Policy Gradient Algorithms | Lil'Log6 savers
• Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs · Denny's Blog1 savers
• Should I Use Offline RL or Imitation Learning? – The Berkeley Artificial Intelligence Research Blog1 savers
• The Wild Project #182 | Shakira VS Piqué Velada 3, ¡¡Barça campeón!!, Jordi Wild anuncia una bomba - YouTube1 savers
• Transfer Learning1 savers
• Best Practices When Working With Docker for Machine Learning - neptune.ai1 savers
• A Complete Guide for Deploying ML Models in Docker - Analytics Vidhya1 savers
• Word Embeddings1 savers
• A Survey of Text Games for Reinforcement Learning Informed by Natural Language | Transactions of the Association for Computational Linguistics | MIT Press1 savers
• Publications – Centre for Language Evolution1 savers
• [2210.11416] Scaling Instruction-Finetuned Language Models1 savers
• [2206.12765] Generalized Beliefs for Cooperative AI1 savers
• cs224u-2018-grounding.pdf1 savers
• Bayesian Bandits - optimizing click throughs with statistics - Chris Stucchio1 savers
• RL with Self-Supervised 3D1 savers
• SenseBERT: Driving Some Sense into BERT - ACL Anthology1 savers
• Inductive vs. Transductive Learning | by Vijini Mallawaarachchi | Towards Data Science1 savers
• Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study | Soft Computing and Intelligent Information Systems1 savers
• [2006.05278] An Overview of Deep Semi-Supervised Learning1 savers
• Semi-Supervised Learning: Techniques & Examples [2022]1 savers
• Paper reviews | CS3241 savers
• [2103.03230] Barlow Twins: Self-Supervised Learning via Redundancy Reduction1 savers
• What is Contrastive Learning? (Contrastive Learning/Self-supervised Learning Explained) - YouTube1 savers
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? "1F99C3 savers
• [2112.10508] Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP1 savers
• https://aclanthology.org/P19-1285.pdf1 savers
• Hands-On Guide to Bi-LSTM With Attention1 savers
• Variants of Dynamic Programming | Chan`s Jupyter1 savers
• Department of Computer Science and Technology – Course pages 2017–18: Deep learning for natural language processing – Course materials1 savers
• Language Modeling2 savers
• Curius / Bookmarks for the extremely curious155 savers
• The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.34 savers
• Understanding LSTM Networks -- colah's blog9 savers
• Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time.8 savers
• NeRF: Neural Radiance Fields7 savers
• Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networks4 savers
• Short Notes on Divergence Measures2 savers
• The Illustrated Word2vec2 savers