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09/05/2023
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs
Skin lesion segmentation is a fundamental task in dermoscopic image anal...
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08/16/2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
End-to-end task-oriented dialogue (TOD) systems have achieved promising ...
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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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08/04/2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Recent months have seen the emergence of a powerful new trend in which l...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
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06/21/2023
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing
Sequential recommendation (SR) investigates the dynamic user preferences...
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05/12/2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Existing recommender systems face difficulties with zero-shot items, i.e...
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04/22/2023
Conditional Denoising Diffusion for Sequential Recommendation
Generative models have attracted significant interest due to their abili...
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01/28/2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
Self-supervised sequential recommendation significantly improves recomme...
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11/14/2022
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Knowledge graph (KG) enhanced recommendation has demonstrated improved p...
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09/04/2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
Integrating multiple online social networks (OSNs) has important implica...
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08/07/2022
Generating Negative Samples for Sequential Recommendation
To make Sequential Recommendation (SR) successful, recent works focus on...
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05/24/2022
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
The rising popularity of online social network services has attracted lo...
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03/25/2022
Improving Contrastive Learning with Model Augmentation
The sequential recommendation aims at predicting the next items in user ...
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03/14/2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
While both extractive and generative readers have been successfully appl...
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02/05/2022
Intent Contrastive Learning for Sequential Recommendation
Users' interactions with items are driven by various intents (e.g., prep...
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01/16/2022
Sequential Recommendation via Stochastic Self-Attention
Sequential recommendation models the dynamics of a user's previous behav...
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12/24/2021
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
3D human pose and shape recovery from a monocular RGB image is a challen...
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11/28/2021
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...
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11/21/2021
Federated Social Recommendation with Graph Neural Network
Recommender systems have become prosperous nowadays, designed to predict...
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09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
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08/26/2021
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
In the information explosion era, recommender systems (RSs) are widely s...
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08/14/2021
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
In order to model the evolution of user preference, we should learn user...
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08/14/2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Sequential Recommendationdescribes a set of techniques to model dynamic ...
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06/14/2021
Quality-Aware Network for Face Parsing
This is a very short technical report, which introduces the solution of ...
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06/11/2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
The sequential patterns within the user interactions are pivotal for rep...
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05/30/2021
Hop-Aware Dimension Optimization for Graph Neural Networks
In Graph Neural Networks (GNNs), the embedding of each node is obtained ...
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05/02/2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Sequential Recommendation characterizes the evolving patterns by modelin...
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03/10/2021
Quality-Aware Network for Human Parsing
How to estimate the quality of the network output is an important issue,...
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11/04/2020
Deoscillated Graph Collaborative Filtering
Collaborative Filtering (CF) signals are crucial for a Recommender Syste...
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10/22/2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network
The problem of basket recommendation (BR) is to recommend a ranking list...
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08/19/2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Graph Neural Networks (GNNs) have been widely applied to fraud detection...
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07/27/2020
Identity-Guided Human Semantic Parsing for Person Re-Identification
Existing alignment-based methods have to employ the pretrained human par...
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05/29/2020
Simplifying Deep-Learning-Based Model for Code Search
To accelerate software development, developers frequently search and reu...
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05/01/2020
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
The graph-based model can help to detect suspicious fraud online. Owing ...
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04/29/2020
Real-Time Energy Monitoring in IoT-enabled Mobile Devices
With rapid advancements in the Internet of Things (IoT) paradigm, electr...
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01/14/2020
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Within-basket recommendation reduces the exploration time of users, wher...
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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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10/18/2019
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Cross-domain recommendation can alleviate the data sparsity problem in r...
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03/26/2019