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09/14/2023
Neuro-Symbolic Recommendation Model based on Logic Query
A recommendation system assists users in finding items that are relevant...
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09/12/2023
Modality Unifying Network for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging tas...
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08/29/2023
PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer
We present PBFormer, an efficient yet powerful scene text detector that ...
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08/17/2023
Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
Text recognition methods are gaining rapid development. Some advanced te...
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08/15/2023
ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Visual chart recognition systems are gaining increasing attention due to...
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07/27/2023
Generative AI for Medical Imaging: extending the MONAI Framework
Recent advances in generative AI have brought incredible breakthroughs i...
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07/11/2023
Neural-Symbolic Recommendation with Graph-Enhanced Information
The recommendation system is not only a problem of inductive statistics ...
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05/17/2023
Lingo3DMol: Generation of a Pocket-based 3D Molecule using a Language Model
Structure-based drug design powered by deep generative models have attra...
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03/17/2023
Video Action Recognition with Attentive Semantic Units
Visual-Language Models (VLMs) have significantly advanced action video r...
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03/13/2023
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling
Table structure recognition aims to extract the logical and physical str...
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12/06/2022
RBF-MGN:Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
Physics-informed neural networks (PINNs) have lately received significan...
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12/01/2022
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
The task of response selection in multi-turn dialogue is to find the bes...
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11/21/2022
Data Leakage and Evaluation Issues in Micro-Expression Analysis
Micro-expressions have drawn increasing interest lately due to various p...
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11/11/2022
Misinformation Detection using Persuasive Writing Strategies
The spread of misinformation is a prominent problem in today's society, ...
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11/01/2022
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation
Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...
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10/19/2022
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Physics-informed neural networks (PINNs) have been proposed to solve two...
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10/14/2022
Psychology-guided Controllable Story Generation
Controllable story generation is a challenging task in the field of NLP,...
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09/21/2022
FNeVR: Neural Volume Rendering for Face Animation
Face animation, one of the hottest topics in computer vision, has achiev...
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09/14/2022
COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities
Motivations, emotions, and actions are inter-related essential factors i...
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09/01/2022
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites
The rapid analysis of thermal stress and deformation plays a pivotal rol...
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08/09/2022
ASR Error Correction with Constrained Decoding on Operation Prediction
Error correction techniques remain effective to refine outputs from auto...
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08/09/2022
Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots
In this paper, we describe a data enhancement method for developing Emil...
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07/20/2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry
Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learni...
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06/24/2022
Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System
Persuasive strategy recognition task requires the system to recognize th...
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05/14/2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Physics-informed extreme learning machine (PIELM) has recently received ...
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05/07/2022
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective
Intention, emotion and action are important psychological factors in hum...
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05/02/2022
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
Learning solutions of partial differential equations (PDEs) with Physics...
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05/01/2022
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition
Micro-expression recognition (MER) is valuable because the involuntary n...
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04/27/2022
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
Emotional support conversation aims at reducing the emotional distress o...
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04/05/2022
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
The inherent slow imaging speed of Magnetic Resonance Image (MRI) has sp...
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03/16/2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Semantic segmentation (SS) aims to classify each pixel into one of the p...
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03/15/2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain
In the whole aircraft structural optimization loop, thermal analysis pla...
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02/18/2022
CLSEG: Contrastive Learning of Story Ending Generation
Story Ending Generation (SEG) is a challenging task in natural language ...
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02/14/2022
Modeling Intention, Emotion and External World in Dialogue Systems
Intention, emotion and action are important elements in human activities...
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02/11/2022
RIS-Aided Wireless Communications: Extra Degrees of Freedom via Rotation and Location Optimization
We consider the extra degree of freedom offered by the rotation of the r...
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01/18/2022
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Temperature field inversion of heat-source systems (TFI-HSS) with limite...
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09/18/2021
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
In this paper, we describe approaches for developing Emily, an emotion-a...
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08/17/2021
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer
With the strength of deep generative models, 3D pose transfer regains in...
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08/13/2021
TPRM: A Topic-based Personalized Ranking Model for Web Search
Ranking models have achieved promising results, but it remains challengi...
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07/23/2021
A novel meta-learning initialization method for physics-informed neural networks
Physics-informed neural networks (PINNs) have been widely used to solve ...
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07/09/2021
IDRLnet: A Physics-Informed Neural Network Library
Physics Informed Neural Network (PINN) is a scientific computing framewo...
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07/04/2021
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering
It is prevalent to utilize external knowledge to help machine answer que...
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06/22/2021
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems
Temperature monitoring during the life time of heat source components in...
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06/16/2021
Coreference Augmentation for Multi-Domain Task-Oriented Dialogue State Tracking
Dialogue State Tracking (DST), which is the process of inferring user go...
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06/10/2021
Bias, Consistency, and Alternative Perspectives of the Infinitesimal Jackknife
Though introduced nearly 50 years ago, the infinitesimal jackknife (IJ) ...
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03/08/2021
MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension
Question answering systems usually use keyword searches to retrieve pote...
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02/25/2021
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation
This paper introduces our systems for all three subtasks of SemEval-2021...
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01/12/2021
Hyperbolic Deep Neural Networks: A Survey
Recently, there has been a raising surge of momentum for deep representa...
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12/30/2020
Robustness Testing of Language Understanding in Dialog Systems
Most language understanding models in dialog systems are trained on a sm...
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12/14/2020
