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09/03/2023
Multi-Relational Contrastive Learning for Recommendation
Personalized recommender systems play a crucial role in capturing users'...
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08/28/2023
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation
Domain shift is a commonly encountered issue in medical imaging solution...
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08/10/2023
SSLRec: A Self-Supervised Learning Library for Recommendation
Self-supervised learning (SSL) has gained significant interest in recent...
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08/04/2023
Towards Autocomplete Strategies for Visualization Construction
Constructive visualization uses physical data units - tokens - to enable...
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07/26/2023
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Conversational recommendation systems (CRS) aim to interactively acquire...
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07/13/2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Personalization has emerged as a prominent aspect within the field of ge...
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06/26/2023
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics
Autonomous individuals establish a structural complex system through pai...
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06/26/2023
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer
In the treatment of ovarian cancer, precise residual disease prediction ...
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06/21/2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Despite the proliferation of generative models, achieving fast sampling ...
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06/15/2023
Document Entity Retrieval with Massive and Noisy Pre-training
Visually-Rich Document Entity Retrieval (VDER) is a type of machine lear...
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05/17/2023
An Empirical Study on the Language Modal in Visual Question Answering
Generalization beyond in-domain experience to out-of-distribution data i...
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05/03/2023
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking
Annotating long-document question answering (long-document QA) pairs is ...
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04/19/2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand...
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03/31/2023
Generalized Anthropomorphic Functional Grasping with Minimal Demonstrations
This article investigates the challenge of achieving functional tool-use...
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03/29/2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
It is critical that the models pay attention not only to accuracy but al...
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03/29/2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
It is broadly known that deep neural networks are susceptible to being f...
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03/09/2023
Meta contrastive label correction for financial time series
Financial applications such as stock price forecasting, usually face an ...
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03/02/2023
Heterogeneous Graph Contrastive Learning for Recommendation
Graph Neural Networks (GNNs) have become powerful tools in modeling grap...
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02/21/2023
Multi-Modal Self-Supervised Learning for Recommendation
The online emergence of multi-modal sharing platforms (eg, TikTok, Youtu...
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02/13/2023
Learning Tri-mode Grasping for Ambidextrous Robot Picking
Object picking in cluttered scenes is a widely investigated field of rob...
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01/31/2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Mining the spatial and temporal correlation of wind farm output data is ...
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01/04/2023
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification
Molecular fingerprints are significant cheminformatics tools to map mole...
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11/28/2022
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task i...
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11/21/2022
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
Grasping with anthropomorphic robotic hands involves much more hand-obje...
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10/19/2022
Knowledge Graph Enhanced Relation Extraction Datasets
Knowledge-enhanced methods that take advantage of auxiliary knowledge gr...
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10/17/2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
Conventional event detection models under supervised learning settings s...
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10/17/2022
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue
Recently, topic-grounded dialogue system has attracted significant atten...
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10/11/2022
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
Long document question answering is a challenging task due to its demand...
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10/02/2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Graph embedding provides a feasible methodology to conduct pattern class...
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09/23/2022
Unsupervised Hashing with Semantic Concept Mining
Recently, to improve the unsupervised image retrieval performance, plent...
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09/20/2022
Incorporating Casual Analysis into Diversified and Logical Response Generation
Although the Conditional Variational AutoEncoder (CVAE) model can genera...
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08/27/2022
Multi-level Contrastive Learning Framework for Sequential Recommendation
Sequential recommendation (SR) aims to predict the subsequent behaviors ...
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08/22/2022
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
Incorporating Knowledge Graphs (KG) into recommeder system has attracted...
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08/10/2022
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...
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07/17/2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Exploiting pseudo labels (e.g., categories and bounding boxes) of unanno...
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07/14/2022
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow
Binary neural network (BNN) provides a promising solution to deploy para...
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06/20/2022
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure
Temporal network link prediction is an important task in the field of ne...
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06/18/2022
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Existing online recruitment platforms depend on automatic ways of conduc...
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06/18/2022
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
We all depend on mobility, and vehicular transportation affects the dail...
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06/11/2022
Parameter Convex Neural Networks
Deep learning utilizing deep neural networks (DNNs) has achieved a lot o...
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05/11/2022
Relational Triple Extraction: One Step is Enough
Extracting relational triples from unstructured text is an essential tas...
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05/06/2022
Automatic Noisy Label Correction for Fine-Grained Entity Typing
Fine-grained entity typing (FET) aims to assign proper semantic types to...
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05/05/2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data
Content mismatch usually occurs when data from one modality is translate...
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05/05/2022
Declaration-based Prompt Tuning for Visual Question Answering
In recent years, the pre-training-then-fine-tuning paradigm has yielded ...
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04/28/2022
Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process
Most real-world networks suffer from incompleteness or incorrectness, wh...
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04/19/2022
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Knowledge graph (KG) plays an increasingly important role in recommender...
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04/06/2022
BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...
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03/31/2022
An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps
Many complex real world phenomena exhibit abrupt, intermittent or jumpin...
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02/23/2022
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation
Bundle recommendation aims to recommend the user a bundle of items as a ...
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02/17/2022
