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07/05/2023
MRecGen: Multimodal Appropriate Reaction Generator
Verbal and non-verbal human reaction generation is a challenging task, a...
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05/24/2023
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Generating facial reactions in a human-human dyadic interaction is compl...
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05/23/2023
Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors
ChatGPT has stimulated the research boom in the field of large language ...
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02/21/2023
Bokeh Rendering Based on Adaptive Depth Calibration Network
Bokeh rendering is a popular and effective technique used in photography...
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12/23/2022
Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation
Front-running attacks have been a major concern on the blockchain. Attac...
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12/20/2022
Document-level Relation Extraction with Relation Correlations
Document-level relation extraction faces two overlooked challenges: long...
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09/21/2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Federated Learning (FL) is a machine learning paradigm that allows decen...
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08/16/2022
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories
As the number of devices connected to the Internet of Things (IoT) incre...
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02/16/2022
See further upon the giants: Quantifying intellectual lineage in science
Newton's centuries-old wisdom of standing on the shoulders of giants rai...
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01/14/2022
Aspects of Muchnik's paradox in restricted betting
Muchnik's paradox says that enumerable betting strategies are not always...
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11/05/2021
Recognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector gr...
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10/07/2021
Cloning one's voice using very limited data in the wild
With the increasing popularity of speech synthesis products, the industr...
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08/30/2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
The energy consumption of deep learning models is increasing at a breath...
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08/24/2021
Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts
Smart contracts are programs running on blockchain to execute transactio...
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06/07/2021
Towards robust and domain agnostic reinforcement learning competitions
Reinforcement learning competitions have formed the basis for standard r...
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05/18/2021
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
Distantly supervised relation extraction has drawn significant attention...
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05/07/2021
Human Object Interaction Detection using Two-Direction Spatial Enhancement and Exclusive Object Prior
Human-Object Interaction (HOI) detection aims to detect visual relations...
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05/01/2021
FedProto: Federated Prototype Learning over Heterogeneous Devices
The heterogeneity across devices usually hinders the optimization conver...
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02/03/2021
Isometric Propagation Network for Generalized Zero-shot Learning
Zero-shot learning (ZSL) aims to classify images of an unseen class only...
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01/16/2021
Free Lunch for Few-shot Learning: Distribution Calibration
Learning from a limited number of samples is challenging since the learn...
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11/30/2020
From Technology to Society: An Overview of Blockchain-based DAO
Decentralized Autonomous Organization (DAO) is believed to play a signif...
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09/24/2020
Attribute Propagation Network for Graph Zero-shot Learning
The goal of zero-shot learning (ZSL) is to train a model to classify sam...
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09/10/2020
Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference
One of the major challenges in coreference resolution is how to make use...
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08/28/2020
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size
Neural architecture search (NAS) has attracted a lot of attention and ha...
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06/28/2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
We study many-class few-shot (MCFS) problem in both supervised learning ...
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06/21/2020
A Universal Representation Transformer Layer for Few-Shot Image Classification
Few-shot classification aims to recognize unseen classes when presented ...
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06/03/2020
Interpretable Time-series Classification on Few-shot Samples
Recent few-shot learning works focus on training a model with prior meta...
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05/06/2020
Low-shot Object Detection via Classification Refinement
This work aims to address the problem of low-shot object detection, wher...
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04/15/2020
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework
Many large-scale knowledge graphs are now available and ready to provide...
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02/24/2020
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline
For time series classification task using 1D-CNN, the selection of kerne...
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02/10/2020
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
Business Intelligence (BI) has gained a new lease of life through Cloud ...
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10/08/2019
AutoML using Metadata Language Embeddings
As a human choosing a supervised learning algorithm, it is natural to be...
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09/11/2019
Learning to Propagate for Graph Meta-Learning
Meta-learning extracts the common knowledge acquired from learning diffe...
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07/19/2019
New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning
With the development of artificial intelligence algorithms like deep lea...
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06/20/2019
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets
Automatically extracted metadata from scholarly documents in PDF formats...
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05/10/2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
A variety of machine learning applications expect to achieve rapid learn...
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01/23/2019
Cloud BI: Future of Business Intelligence in the Cloud
Cloud computing is gradually gaining popularity among businesses due to ...
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01/17/2019
Certainty-Driven Consistency Loss for Semi-supervised Learning
The recently proposed semi-supervised learning methods exploit consisten...
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01/11/2019
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
We introduce a new task named Story Ending Generation (SEG), whic-h aims...
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12/25/2018
Energy Efficient Massive MIMO through Distributed Precoder Design
This paper presents an energy-efficient downlink precoding scheme with t...
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12/11/2018
Loss Guided Activation for Action Recognition in Still Images
One significant problem of deep-learning based human action recognition ...
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10/10/2017
Link Quality Aware Channel Allocation for Multichannel Body Sensor Networks
Body Sensor Network (BSN) is a typical Internet-of-Things (IoT) applicat...
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10/24/2016
