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09/14/2023
VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
Visually-grounded dialog systems, which integrate multiple modes of comm...
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09/01/2023
Information-based Optimal Subdata Selection for Clusterwise Linear Regression
Mixture-of-Experts models are commonly used when there exist distinct cl...
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08/19/2023
DiffusionTrack: Diffusion Model For Multi-Object Tracking
Multi-object tracking (MOT) is a challenging vision task that aims to de...
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08/17/2023
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings
Logo embedding plays a crucial role in various e-commerce applications b...
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07/21/2023
PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations
We present a new category of physics-informed neural networks called phy...
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06/28/2023
A serial dual-channel library occupancy detection system based on Faster RCNN
The phenomenon of seat occupancy in university libraries is a prevalent ...
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06/12/2023
Valley: Video Assistant with Large Language model Enhanced abilitY
Recently, several multi-modal models have been developed for joint image...
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05/24/2023
Topic-Guided Self-Introduction Generation for Social Media Users
Millions of users are active on social media. To allow users to better s...
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05/24/2023
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Perceiving multi-modal information and fulfilling dialogues with humans ...
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05/22/2023
Iterative Forward Tuning Boosts In-context Learning in Language Models
Large language models (LLMs) have exhibited an emergent in-context learn...
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05/20/2023
Self-Distillation with Meta Learning for Knowledge Graph Completion
In this paper, we propose a selfdistillation framework with meta learnin...
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05/19/2023
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
Recently, speech-text pre-training methods have shown remarkable success...
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05/02/2023
OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment
Cross-lingual and cross-domain knowledge alignment without sufficient ex...
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05/02/2023
Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment
Entity alignment(EA) is a crucial task for integrating cross-lingual and...
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04/25/2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Traditional multi-agent reinforcement learning algorithms are difficultl...
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04/20/2023
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
Open intent classification, which aims to correctly classify the known i...
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03/06/2023
Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning
Deep learning techniques have dominated the literature on aspect-based s...
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01/31/2023
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Table-based reasoning has shown remarkable progress in combining deep mo...
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01/17/2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs
Efficient detectors for edge devices are often optimized for metrics lik...
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10/27/2022
Self-consistent Reasoning For Solving Math Word Problems
Math word problems (MWPs) is a task that automatically derives solution ...
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10/23/2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems
Although Physics-Informed Neural Networks (PINNs) have been successfully...
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10/21/2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
In this paper, we propose a novel SQL guided pre-training framework STAR...
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10/13/2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Existing benchmark datasets for recommender systems (RS) either are crea...
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09/14/2022
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
Recently, pre-training methods have shown remarkable success in task-ori...
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09/14/2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
Pre-training methods with contrastive learning objectives have shown rem...
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09/14/2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
This paper aims to improve the performance of text-to-SQL parsing by exp...
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08/29/2022
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Text-to-SQL parsing is an essential and challenging task. The goal of te...
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07/14/2022
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
Ovarian cancer is one of the most harmful gynecological diseases. Detect...
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07/01/2022
DALG: Deep Attentive Local and Global Modeling for Image Retrieval
Deeply learned representations have achieved superior image retrieval pe...
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06/28/2022
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
The importance of building text-to-SQL parsers which can be applied to n...
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05/05/2022
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection
Temporal action detection (TAD) is extensively studied in the video unde...
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02/25/2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
The adversarial robustness of a neural network mainly relies on two fact...
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02/13/2022
Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions
Deep image inpainting research mainly focuses on constructing various ne...
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12/22/2021
A Survey of Natural Language Generation
This paper offers a comprehensive review of the research on Natural Lang...
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11/29/2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented...
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11/18/2021
SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing
Recently pre-training models have significantly improved the performance...
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11/11/2021
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
Complex Knowledge Base Question Answering is a popular area of research ...
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11/02/2021
iCallee: Recovering Call Graphs for Binaries
Recovering programs' call graphs is crucial for inter-procedural analysi...
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10/31/2021
Enhancing Top-N Item Recommendations by Peer Collaboration
Deep neural networks (DNN) have achieved great success in the recommende...
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09/21/2021
A Low Complexity MAP Detector for OTFS Modulation in Logarithmic Domain
Orthogonal time-frequency space (OTFS) has been confirmed to take advant...
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08/06/2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Image Retrieval is a fundamental task of obtaining images similar to the...
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07/31/2021
Missingness Augmentation: A General Approach for Improving Generative Imputation Models
Despite tremendous progress in missing data imputation task, designing n...
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07/17/2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
This ability to learn consecutive tasks without forgetting how to perfor...
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07/15/2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Sequential recommender systems (SRS) have become a research hotspot due ...
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06/21/2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Lifelong learning capabilities are crucial for sentiment classifiers to ...
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06/15/2021
User-specific Adaptive Fine-tuning for Cross-domain Recommendations
Making accurate recommendations for cold-start users has been a longstan...
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06/10/2021
A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
Most existing neural network based task-oriented dialogue systems follow...
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04/12/2021
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Answer selection, which is involved in many natural language processing ...
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03/18/2021
On the Characterizations of OTFS Modulation over multipath Rapid Fading Channel
Orthogonal time frequency space (OTFS) modulation has been confirmed to ...
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12/24/2020