research
∙
08/11/2023
Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals
Reasoning ability is one of the most crucial capabilities of a foundatio...
share
research
∙
07/02/2023
A novel multi-step method for the partial pole assignment in symmetric quadratic pencil with time delay
In this paper, we study the partial pole assignment problem in symmetric...
research
∙
06/01/2023
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Bipartite graphs model relationships between two different sets of entit...
research
∙
05/29/2023
Photoswap: Personalized Subject Swapping in Images
In an era where images and visual content dominate our digital landscape...
research
∙
05/26/2023
Towards Open-World Segmentation of Parts
Segmenting object parts such as cup handles and animal bodies is importa...
research
∙
03/09/2023
LEAP: The latent exchangeability prior for borrowing information from historical data
It is becoming increasingly popular to elicit informative priors on the ...
research
∙
02/27/2023
TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection
Multimodal hate detection, which aims to identify harmful content online...
research
∙
02/21/2023
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
Query categorization at customer-to-customer e-commerce platforms like F...
research
∙
12/22/2022
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Recent work has shown that fine-tuning large pre-trained language models...
research
∙
12/13/2022
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators
Structure-guided image completion aims to inpaint a local region of an i...
research
∙
11/19/2022
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Due to the noises in crowdsourced labels, label aggregation (LA) has eme...
research
∙
11/12/2022
A mixed element scheme of Helmholtz transmission eigenvalue problem for anisotropic media
In this paper, we study the Helmholtz transmission eigenvalue problem fo...
research
∙
11/07/2022
Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)
Over the past two decades, PKAW has provided a forum for researchers and...
research
∙
07/11/2022
Exploring Contextual Relationships for Cervical Abnormal Cell Detection
Cervical abnormal cell detection is a challenging task as the morphologi...
research
∙
06/07/2022
Recent Advances for Quantum Neural Networks in Generative Learning
Quantum computers are next-generation devices that hold promise to perfo...
research
∙
05/22/2022
Adaptive estimation for the nonparametric bivariate additive model in random design with long-memory dependent errors
We investigate the nonparametric bivariate additive regression estimatio...
research
∙
03/23/2022
Unified Structure Generation for Universal Information Extraction
Information extraction suffers from its varying targets, heterogeneous s...
research
∙
03/23/2022
Few-shot Named Entity Recognition with Self-describing Networks
Few-shot NER needs to effectively capture information from limited insta...
research
∙
02/12/2022
Distributed D-core Decomposition over Large Directed Graphs
Given a directed graph G and integers k and l, a D-core is the maximal s...
research
∙
12/27/2021
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
Emoticons are indispensable in online communications. With users' growin...
research
∙
10/30/2021
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
Feature reassembly is an essential component in modern CNNs-based segmen...
research
∙
10/26/2021
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation
The field of computational pathology has witnessed great advancements si...
research
∙
10/18/2021
Context-aware Reranking with Utility Maximization for Recommendation
As a critical task for large-scale commercial recommender systems, reran...
research
∙
09/13/2021
Fine-grained Entity Typing via Label Reasoning
Conventional entity typing approaches are based on independent classific...
research
∙
08/23/2021
Modeling COVID-19 uncertainties evolving over time and density-dependent social reinforcement and asymptomatic infections
The novel coronavirus disease 2019 (COVID-19) presents unique and unknow...
research
∙
06/09/2021
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction
Recommender systems are often asked to serve multiple recommendation sce...
research
∙
05/26/2021
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
research
∙
05/14/2021
Visual analogy: Deep learning versus compositional models
Is analogical reasoning a task that must be learned to solve from scratc...
research
∙
04/19/2021
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Traditional goal-oriented dialogue systems rely on various components su...
research
∙
04/16/2021
COVID-19 Modeling: A Review
To tackle the COVID-19 pandemic, massive efforts have been made in model...
research
∙
03/25/2021
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models
Part segmentations provide a rich and detailed part-level description of...
research
∙
03/23/2021
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency
Weakly supervised instance segmentation reduces the cost of annotations ...
research
∙
02/26/2021
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification
New categories can be discovered by transforming semantic features into ...
research
∙
01/25/2021
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
Although zero-shot learning (ZSL) has an inferential capability of recog...
research
∙
12/31/2020
A Deep Retinal Image Quality Assessment Network with Salient Structure Priors
Retinal image quality assessment is an essential prerequisite for diagno...
research
∙
12/03/2020
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Automated segmentation of hard exudates in colour fundus images is a cha...
research
∙
11/01/2020
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Learning to rank with implicit feedback is one of the most important tas...
research
∙
10/26/2020
A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment
Retinal image quality assessment is an essential task in the diagnosis o...
research
∙
10/12/2020
MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction
Data management is becoming increasingly important in dealing with the l...
research
∙
07/08/2020
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
research
∙
06/28/2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Computer vision systems in real-world applications need to be robust to ...
research
∙
04/25/2020
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
Modeling the sequential correlation of users' historical interactions is...
research
∙
03/10/2020
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Recent work has shown that deep convolutional neural networks (DCNNs) do...
research
∙
02/23/2020
Adversarial Attack on DL-based Massive MIMO CSI Feedback
With the increasing application of deep learning (DL) algorithms in wire...
research
∙
02/11/2020
Incremental Learning for Metric-Based Meta-Learners
Majority of the modern meta-learning methods for few-shot classification...
research
∙
11/18/2019
Localizing Occluders with Compositional Convolutional Networks
Compositional convolutional networks are generative compositional models...
research
∙
11/05/2019
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
research
∙
09/11/2019
Dual-attention Focused Module for Weakly Supervised Object Localization
The research on recognizing the most discriminative regions provides ref...
research
∙
05/28/2019
Compositional Convolutional Networks For Robust Object Classification under Occlusion
Deep convolutional neural networks (DCNNs) are powerful models that yiel...
research
∙
04/18/2019