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Hello Makers! Join us for another great meetup with Sanyam Bhutani, Machine Learning Engineer at H2O.ai as he gives a recap of the eighth annual ICLR (International Conference on Learning Representations) 2020 - a niche deep learning conference whose focus is to study how to learn representations of data, which is basically what deep learning does. Sanyam will go through a few of his favorite selected papers from this year’s ICLR, note this session may not be able to capture the richness of all papers or allow a detailed discussion. You will be able to find Sanam in our community slack (https://www.h2o.ai/slack-community/), please feel free to start a discussion with him, if you send a 🍵 emoji greeting, you’ll find the answers. Following are the papers we will look into: U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (https://paperswithcode.com/paper/u-gat-it-unsupervised-generative-attentional) AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty (https://paperswithcode.com/paper/augmix-a-simple-data-processing-method-to) Your classifier is secretly an energy based model and you should treat it like one (https://iclr.cc/virtual/poster_Hkxzx0NtDB.html) ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators (https://iclr.cc/virtual/poster_r1xMH1BtvB.html) ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (https://iclr.cc/virtual/poster_H1eA7AEtvS.html) Reformer: The Efficient Transformer (https://paperswithcode.com/paper/reformer-the-efficient-transformer-1) Generative Models for Effective ML on Private, Decentralized Datasets (https://paperswithcode.com/paper/generative-models-for-effective-ml-on-private-1) Once for All: Train One Network and Specialize it for Efficient Deployment (https://paperswithcode.com/paper/once-for-all-train-one-network-and-specialize-1) Thieves on Sesame Street! Model Extraction of BERT-based APIs (https://paperswithcode.com/paper/thieves-on-sesame-street-model-extraction-of) Plug and Play Language Models: A Simple Approach to Controlled Text Generation (https://paperswithcode.com/paper/plug-and-play-language-models-a-simple) BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning (https://paperswithcode.com/paper/batchensemble-an-alternative-approach-to-1) Real or Not Real, that is the Question (https://paperswithcode.com/paper/real-or-not-real-that-is-the-question-1)
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business. H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation. Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start. About Parul Pandey: Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.