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06/06/2023
GSHOT: Few-shot Generative Modeling of Labeled Graphs
Deep graph generative modeling has gained enormous attraction in recent ...
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06/06/2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Graph neural networks (GNNs), in general, are built on the assumption of...
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05/21/2023
IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges
This research study investigates the efficiency of different information...
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12/16/2022
Analysis and application of multispectral data for water segmentation using machine learning
Monitoring water is a complex task due to its dynamic nature, added poll...
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11/25/2022
Far3Det: Towards Far-Field 3D Detection
We focus on the task of far-field 3D detection (Far3Det) of objects beyo...
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11/25/2022
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting
Image inpainting is the process of regenerating lost parts of the image....
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10/15/2022
Reinforcement Learning for ConnectX
ConnectX is a two-player game that generalizes the popular game Connect ...
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08/25/2022
A Survey on Temporal Graph Representation Learning and Generative Modeling
Temporal graphs represent the dynamic relationships among entities and o...
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03/07/2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
There has been a recent surge in learning generative models for graphs. ...
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03/03/2022
On consistency of constrained spectral clustering under representation-aware stochastic block model
Spectral clustering is widely used in practice due to its flexibility, c...
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01/17/2022
Differentiable Rule Induction with Learned Relational Features
Rule-based decision models are attractive due to their interpretability....
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09/23/2021
Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization
Within natural language processing tasks, linguistic knowledge can alway...
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05/08/2021
Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees
Studies related to fairness in machine learning have recently gained tra...
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04/30/2021
End-to-End Attention-based Image Captioning
In this paper, we address the problem of image captioning specifically f...
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03/11/2021
Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
While deep learning is a powerful tool for natural language processing (...
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12/08/2020
A Real-Time Whole Page Personalization Framework for E-Commerce
E-commerce platforms consistently aim to provide personalized recommenda...
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06/26/2020
WorkerRep: Immutable Reputation System For Crowdsourcing Platform Based on Blockchain
Crowdsourcing is a process wherein an individual or an organisation util...
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04/06/2020
Networked Multi-Agent Reinforcement Learning with Emergent Communication
Multi-Agent Reinforcement Learning (MARL) methods find optimal policies ...
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11/26/2019
A Statistical Model for Dynamic Networks with Neural Variational Inference
In this paper we propose a statistical model for dynamically evolving ne...
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11/11/2019
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes
In most practical contexts network indexed data consists not only of a d...
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11/01/2019
Active Learning with Siamese Twins for Sequence Tagging
Deep learning, in general, and natural language processing methods, in p...
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10/24/2019
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
With growing consumer adoption of online grocery shopping through platfo...
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02/19/2019
On Voting Strategies and Emergent Communication
Humans use language to collectively execute complex strategies in additi...
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03/21/2018
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter
This paper describes Infosys's participation in the "2nd Social Media Mi...
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02/11/2018
Evolving Latent Space Model for Dynamic Networks
Networks observed in the real world like social networks, collaboration ...
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03/02/2017
