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Meet Merlion: An End-to-End Easy-to-Use Machine Learning Library for Time Series Applications

AUTHORS: Huan Wang, Aadyot Bhatnagar, Doyen Sahoo, Wenzhuo Yang, Steven Hoi, Caiming Xiong, Donald Rose TL;DR: Time series data is a critical source of insights for many applications, including IT Operations, Quality Management, Financial Analytics, and Inventory & Sales Management. While a variety of dedicated packages and software exist, engineers

02 Jun 2022 • #ML

CTRLsum: Towards Generic, Controllable Text Summarization

Discover CTRLsum, a novel framework for controllable text summarization that enables users to control multiple aspects of generated summaries by interacting with the summarization system through textual input in the form of a set of keywords or descriptive prompts.

29 Dec 2021 • #text summarization

Thinking out Loud: Hierarchical and Interpretable Multi-task Reinforcement Learning

Deep reinforcement learning (deep RL) is a popular and successful family of methods for teaching computers tasks ranging from playing Go and Atari games to controlling industrial robots.

14 Dec 2017 • #research

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

Automatically generating captions for images has emerged as a prominent interdisciplinary research problem in both academia and industry. It can aid visually impaired users, and make it easy for users to organize and navigate through large amounts of typically unstructured visual data.

29 Nov 2016 • #research

Dynamic Memory Networks for Visual and Textual Question Answering

Neural network architectures with memory and attention mechanisms exhibit certain reasoning capabilities required for question answering. One such architecture, the dynamic memory network (DMN), obtained high accuracy on a variety of language tasks.

04 Apr 2016 • #research
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