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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...

0 Chenghao Liu, et al. ∙

∙ 06/01/2023

OTW: Optimal Transport Warping for Time Series

Dynamic Time Warping (DTW) has become the pragmatic choice for measuring...

0 Fabian Latorre, et al. ∙

∙ 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...

7 Qian Cheng, et al. ∙

∙ 01/31/2023

LogAI: A Library for Log Analytics and Intelligence

Software and System logs record runtime information about processes exec...

0 Qian Cheng, et al. ∙

∙ 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...

1 Gerald Woo, et al. ∙

∙ 02/23/2022

Learning Fast and Slow for Online Time Series Forecasting

The fast adaptation capability of deep neural networks in non-stationary...

0 Quang Pham, et al. ∙

∙ 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...

0 Gerald Woo, et al. ∙

∙ 02/03/2022

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Transformers have been actively studied for time-series forecasting in r...

0 Gerald Woo, et al. ∙

∙ 09/20/2021

Merlion: A Machine Learning Library for Time Series

We introduce Merlion, an open-source machine learning library for time s...

78 Aadyot Bhatnagar, et al. ∙

∙ 10/20/2020

BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues

Video-grounded dialogues are very challenging due to (i) the complexity ...

0 Hung Le, et al. ∙

∙ 07/30/2020

Bilevel Continual Learning

Continual learning aims to learn continuously from a stream of tasks and...

0 Quang Pham, et al. ∙

∙ 07/17/2020

Adaptive Task Sampling for Meta-Learning

Meta-learning methods have been extensively studied and applied in compu...

5 Chenghao Liu, et al. ∙

∙ 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...

0 Hung Le, et al. ∙

∙ 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...

14 Hao Wang, et al. ∙

∙ 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...

60 Doyen Sahoo, et al. ∙

∙ 08/10/2019

Recent Advances in Deep Learning for Object Detection

Object detection is a fundamental visual recognition problem in computer...

21 Xiongwei Wu, et al. ∙

∙ 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...

0 Hung Le, et al. ∙

∙ 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 ...

34 Hao Wang, et al. ∙

∙ 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...

0 Hung Le, et al. ∙

∙ 02/08/2018

Online Learning: A Comprehensive Survey

Online learning represents an important family of machine learning algor...

0 Steven C. H. Hoi, et al. ∙

∙ 10/28/2016

SOL: A Library for Scalable Online Learning Algorithms

SOL is an open-source library for scalable online learning algorithms, a...

0 Yue Wu, et al. ∙

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