Search Results for author: Doyen Sahoo

Found 26 papers, 14 papers with code

DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

1 code implementation13 Jul 2022 Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

Yet, despite the attractive properties of time-index based models, such as being a continuous signal function over time leading to smooth representations, little attention has been given to them.

Meta-Learning Time Series Forecasting

Learning Fast and Slow for Online Time Series Forecasting

no code implementations23 Feb 2022 Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi

The fast adaptation capability of deep neural networks in non-stationary environments is critical for online time series forecasting.

Time Series Forecasting

CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting

1 code implementation ICLR 2022 Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

Motivated by the recent success of representation learning in computer vision and natural language processing, we argue that a more promising paradigm for time series forecasting, is to first learn disentangled feature representations, followed by a simple regression fine-tuning step -- we justify such a paradigm from a causal perspective.

Contrastive Learning Representation Learning +1

Contextual Transformation Networks for Online Continual Learning

no code implementations ICLR 2021 Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi

Continual learning methods with fixed architectures rely on a single network to learn models that can perform well on all tasks.

Continual Learning Transfer Learning

Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Learning Beyond Global Prior

no code implementations1 Jan 2021 Chenghao Liu, Tao Lu, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven Hoi

Meta-learning methods learn the meta-knowledge among various training tasks and aim to promote the learning of new tasks under the task similarity assumption.

Meta-Learning

PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection

no code implementations ICLR 2021 Wu Xiongwei, Doyen Sahoo, Steven Hoi

Despite achieving promising performance at par with anchor-based detectors, the existing anchor-free detectors such as FCOS or CenterNet predict objects based on standard Cartesian coordinates, which often yield poor quality keypoints.

object-detection Object Detection

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

1 code implementation EMNLP 2020 Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Video-grounded dialogues are very challenging due to (i) the complexity of videos which contain both spatial and temporal variations, and (ii) the complexity of user utterances which query different segments and/or different objects in videos over multiple dialogue turns.

Bilevel Continual Learning

1 code implementation30 Jul 2020 Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

Continual learning aims to learn continuously from a stream of tasks and data in an online-learning fashion, being capable of exploiting what was learned previously to improve current and future tasks while still being able to perform well on the previous tasks.

Bilevel Optimization Continual Learning +3

Adaptive Task Sampling for Meta-Learning

no code implementations ECCV 2020 Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks.

Classification General Classification +1

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues

1 code implementation EMNLP 2020 Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi

Building an end-to-end conversational agent for multi-domain task-oriented dialogues has been an open challenge for two main reasons.

Dialogue State Tracking

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

no code implementations9 Mar 2020 Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc.

Cross-Modal Retrieval

Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Leanring Beyond Global Prior

no code implementations25 Sep 2019 Chenghao Liu, Tao Lu, Doyen Sahoo, Yuan Fang, Steven C.H. Hoi.

Meta-learning methods learn the meta-knowledge among various training tasks and aim to promote the learning of new tasks under the task similarity assumption.

Meta-Learning

Meta-RCNN: Meta Learning for Few-Shot Object Detection

no code implementations25 Sep 2019 Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Specifically, Meta-RCNN learns an object detector in an episodic learning paradigm on the (meta) training data.

Few-Shot Object Detection Meta-Learning +2

Recent Advances in Deep Learning for Object Detection

1 code implementation10 Aug 2019 Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi

Object detection is a fundamental visual recognition problem in computer vision and has been widely studied in the past decades.

Image Classification object-detection +1

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

1 code implementation ACL 2019 Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

Developing Video-Grounded Dialogue Systems (VGDS), where a dialogue is conducted based on visual and audio aspects of a given video, is significantly more challenging than traditional image or text-grounded dialogue systems because (1) feature space of videos span across multiple picture frames, making it difficult to obtain semantic information; and (2) a dialogue agent must perceive and process information from different modalities (audio, video, caption, etc.)

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

2 code implementations CVPR 2019 Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi

Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and healthy lifestyle.

Cross-Modal Retrieval Nutrition +1

Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift

no code implementations ICLR 2019 Doyen Sahoo, Hung Le, Chenghao Liu, Steven C. H. Hoi

Most existing work assumes that both training and test tasks are drawn from the same distribution, and a large amount of labeled data is available in the training tasks.

Domain Adaptation Few-Shot Learning

URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

4 code implementations9 Feb 2018 Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi

This approach allows the model to capture several types of semantic information, which was not possible by the existing models.

BIG-bench Machine Learning Feature Engineering +1

Online Learning: A Comprehensive Survey

no code implementations8 Feb 2018 Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao

Online learning represents an important family of machine learning algorithms, in which a learner attempts to resolve an online prediction (or any type of decision-making) task by learning a model/hypothesis from a sequence of data instances one at a time.

BIG-bench Machine Learning Decision Making +1

Online Deep Learning: Learning Deep Neural Networks on the Fly

3 code implementations10 Nov 2017 Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi

Deep Neural Networks (DNNs) are typically trained by backpropagation in a batch learning setting, which requires the entire training data to be made available prior to the learning task.

online learning

Malicious URL Detection using Machine Learning: A Survey

1 code implementation25 Jan 2017 Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi

This article aims to provide a comprehensive survey and a structural understanding of Malicious URL Detection techniques using machine learning.

BIG-bench Machine Learning

SOL: A Library for Scalable Online Learning Algorithms

1 code implementation28 Oct 2016 Yue Wu, Steven C. H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, Nenghai Yu

SOL is an open-source library for scalable online learning algorithms, and is particularly suitable for learning with high-dimensional data.

BIG-bench Machine Learning General Classification +2

Budget Online Multiple Kernel Learning

no code implementations16 Nov 2015 Jing Lu, Steven C. H. Hoi, Doyen Sahoo, Peilin Zhao

To overcome this drawback, we present a novel framework of Budget Online Multiple Kernel Learning (BOMKL) and propose a new Sparse Passive Aggressive learning to perform effective budget online learning.

General Classification online learning

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