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06/20/2023
PyRCA: A Library for Metric-based Root Cause Analysis
We introduce PyRCA, an open-source Python machine learning library of Ro...
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06/01/2023
OTW: Optimal Transport Warping for Time Series
Dynamic Time Warping (DTW) has become the pragmatic choice for measuring...
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04/10/2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Artificial Intelligence for IT operations (AIOps) aims to combine the po...
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01/31/2023
LogAI: A Library for Log Analytics and Intelligence
Software and System logs record runtime information about processes exec...
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07/13/2022
DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting
Deep learning has been actively applied to time-series forecasting, lead...
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02/23/2022
Learning Fast and Slow for Online Time Series Forecasting
The fast adaptation capability of deep neural networks in non-stationary...
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02/03/2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Deep learning has been actively studied for time series forecasting, and...
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02/03/2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Transformers have been actively studied for time-series forecasting in r...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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10/20/2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
Video-grounded dialogues are very challenging due to (i) the complexity ...
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07/30/2020
Bilevel Continual Learning
Continual learning aims to learn continuously from a stream of tasks and...
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07/17/2020
Adaptive Task Sampling for Meta-Learning
Meta-learning methods have been extensively studied and applied in compu...
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04/29/2020
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
Building an end-to-end conversational agent for multi-domain task-orient...
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03/09/2020
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism
Cross-modal food retrieval is an important task to perform analysis of f...
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09/26/2019
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
An important aspect of health monitoring is effective logging of food co...
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08/10/2019
Recent Advances in Deep Learning for Object Detection
Object detection is a fundamental visual recognition problem in computer...
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07/02/2019
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Developing Video-Grounded Dialogue Systems (VGDS), where a dialogue is c...
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05/03/2019
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
Food computing is playing an increasingly important role in human daily ...
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02/09/2018
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Malicious URLs host unsolicited content and are used to perpetrate cyber...
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02/08/2018
Online Learning: A Comprehensive Survey
Online learning represents an important family of machine learning algor...
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10/28/2016
