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09/12/2023
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer
Artistic style transfer aims to create new artistic images by rendering ...
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08/30/2023
A Unified Analysis for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions
In this paper we propose a proximal subgradient method (Prox-SubGrad) fo...
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08/16/2023
Classification Committee for Active Deep Object Detection
In object detection, the cost of labeling is much high because it needs ...
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08/15/2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Content and style (C-S) disentanglement is a fundamental problem and cri...
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06/17/2023
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs
Multi-modal knowledge graph (MKG) includes triplets that consist of enti...
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06/02/2023
An Augmented Lagrangian Approach to Conically Constrained Non-monotone Variational Inequality Problems
In this paper we consider a non-monotone (mixed) variational inequality ...
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05/26/2023
Joint Optimization of Triangle Mesh, Material, and Light from Neural Fields with Neural Radiance Cache
Traditional inverse rendering techniques are based on textured meshes, w...
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05/23/2023
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity
The subgradient method is one of the most fundamental algorithmic scheme...
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04/28/2023
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation
Sequential recommendation aims to capture users' dynamic interest and pr...
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04/26/2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Neural Radiance Fields (NeRF) has shown great success in novel view synt...
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04/22/2023
Sequential Recommendation with Probabilistic Logical Reasoning
Deep learning and symbolic learning are two frequently employed methods ...
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04/08/2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Temporal knowledge graphs (TKGs) model the temporal evolution of events ...
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03/23/2023
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
This paper presents a new adversarial training framework for image inpai...
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12/01/2022
Long-Document Cross-Lingual Summarization
Cross-Lingual Summarization (CLS) aims at generating summaries in one la...
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11/28/2022
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Arbitrary style transfer (AST) transfers arbitrary artistic styles onto ...
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10/07/2022
An Investigation into Whitening Loss for Self-supervised Learning
A desirable objective in self-supervised learning (SSL) is to avoid feat...
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09/08/2022
Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task
[Purpose] To understand the meaning of a sentence, humans can focus on i...
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09/03/2022
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning
Multi-modal knowledge graphs (MKGs) include not only the relation triple...
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09/03/2022
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
Inductive link prediction (ILP) is to predict links for unseen entities ...
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08/27/2022
AesUST: Towards Aesthetic-Enhanced Universal Style Transfer
Recent studies have shown remarkable success in universal style transfer...
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08/08/2022
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
Contrastive learning with Transformer-based sequence encoder has gained ...
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07/17/2022
RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
Grounding dialogue system with external knowledge is a promising way to ...
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07/10/2022
A numerical analysis of planar central and balanced configurations in the (n+1)-body problem with a small mass
Two numerical algorithms for analyzing planar central and balanced confi...
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06/30/2022
Randomized Coordinate Subgradient Method for Nonsmooth Optimization
Nonsmooth optimization finds wide applications in many engineering field...
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04/21/2022
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Sequential Recommendation aims to predict the next item based on user be...
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01/29/2022
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Story ending generation is an interesting and challenging task, which ai...
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01/08/2022
HFUL: A Hybrid Framework for User Account Linkage across Location-Aware Social Networks
Sources of complementary information are connected when we link user acc...
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12/06/2021
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
In this paper, we present the texture reformer, a fast and universal neu...
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11/28/2021
Enhancing Keyphrase Extraction from Academic Articles with their Reference Information
With the development of Internet technology, the phenomenon of informati...
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11/24/2021
Knowledge Enhanced Sports Game Summarization
Sports game summarization aims at generating sports news from live comme...
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11/20/2021
Quaternion-Based Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has been widely applied in recommender s...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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01/25/2021
From Model-driven to Data-driven: A Survey on Active Deep Learning
Which samples should be labelled in a large data set is one of the most ...
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01/16/2021
Diversified Patch-based Style Transfer with Shifted Style Normalization
Gram-based and patch-based approaches are two important research lines o...
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01/03/2021
AlphaFuzz: Evolutionary Mutation-based Fuzzing as Monte Carlo Tree Search
Fuzzing is becoming more and more popular in the field of vulnerability ...
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10/29/2020
A stochastic optimization algorithm for analyzing planar central and balanced configurations in the n-body problem
A stochastic optimization algorithm for analyzing planar central and bal...
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08/08/2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
In this paper, we present a novel framework that can achieve multimodal ...
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08/07/2020
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task in online adverti...
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04/16/2020
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Deformation field estimation is an important and challenging issue in ma...
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04/01/2020
An Efficient Agreement Mechanism in CapsNets By Pairwise Product
Capsule networks (CapsNets) are capable of modeling visual hierarchical ...
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03/27/2020
An Investigation into the Stochasticity of Batch Whitening
Batch Normalization (BN) is extensively employed in various network arch...
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09/18/2019
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Image style transfer is an underdetermined problem, where a large number...
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01/21/2019
On Compression of Unsupervised Neural Nets by Pruning Weak Connections
Unsupervised neural nets such as Restricted Boltzmann Machines(RBMs) and...
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11/18/2018