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11/02/2022
Hydra – A Federated Data Repository over NDN
Today's big data science communities manage their data publication and r...
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11/02/2022
A survey on the development status and application prospects of knowledge graph in smart grids
With the advent of the electric power big data era, semantic interoperab...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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10/22/2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Existing dialogue datasets contain lots of noise in their state annotati...
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10/13/2022
A Dual Control Variate for doubly stochastic optimization and black-box variational inference
In this paper, we aim at reducing the variance of doubly stochastic opti...
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09/10/2022
Causal Intervention for Fairness in Multi-behavior Recommendation
Recommender systems usually learn user interests from various user behav...
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09/06/2022
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors
We present a method for inferring diverse 3D models of human-object inte...
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07/14/2022
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Although more layers and more parameters generally improve the accuracy ...
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07/09/2022
Rethinking Persistent Homology for Visual Recognition
Persistent topological properties of an image serve as an additional des...
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06/25/2022
Self-supervised Context-aware Style Representation for Expressive Speech Synthesis
Expressive speech synthesis, like audiobook synthesis, is still challeng...
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06/24/2022
Out of distribution robustness with pre-trained Bayesian neural networks
We develop ShiftMatch, a new training-data-dependent likelihood for out ...
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06/01/2022
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines
Deepfakes pose a serious threat to our digital society by fueling the sp...
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05/09/2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
Text to speech (TTS) has made rapid progress in both academia and indust...
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03/13/2022
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
Heatmap regression methods have dominated face alignment area in recent ...
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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/21/2021
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection
Recently, fusing the LiDAR point cloud and camera image to improve the p...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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06/10/2021
Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning
Acquiring accurate 3D annotated data for hand pose estimation is a notor...
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06/08/2021
Speech BERT Embedding For Improving Prosody in Neural TTS
This paper presents a speech BERT model to extract embedded prosody info...
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04/21/2021
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs
Deep learning has demonstrated radiograph screening performances that ar...
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02/24/2021
A statistical theory of out-of-distribution detection
We introduce a principled approach to detecting out-of-distribution (OOD...
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02/05/2021
Leveraging Review Properties for Effective Recommendation
Many state-of-the-art recommendation systems leverage explicit item revi...
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11/17/2020
s-Transformer: Segment-Transformer for Robust Neural Speech Synthesis
Neural end-to-end text-to-speech (TTS) , which adopts either a recurrent...
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09/24/2020
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
To reduce the amount of transmitted data, feature map based fusion is re...
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08/21/2020
Toward Quantifying Ambiguities in Artistic Images
It has long been hypothesized that perceptual ambiguities play an import...
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08/14/2020
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
The incompleteness of positive labels and the presence of many unlabelle...
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06/06/2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
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07/26/2019
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening
Optical Coherence Tomography (OCT) imaging plays an important role in gl...
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07/18/2019
Forward-Backward Decoding for Regularizing End-to-End TTS
Neural end-to-end TTS can generate very high-quality synthesized speech,...
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06/07/2019
