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Enhancing Pre-trained Language Model with Lexical Simplification
For both human readers and pre-trained language models (PrLMs), lexical ...
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EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream
3D hand pose estimation from monocular videos is a long-standing and cha...
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Local Averaging Helps: Hierarchical Federated Learning and Convergence Analysis
Federated learning is an effective approach to realize collaborative lea...
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Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
With the advent of neural machine translation, there has been a marked s...
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Low-Rank Covariance Function Estimation for Multidimensional Functional Data
Multidimensional function data arise from many fields nowadays. The cova...
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Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
We propose to use a model-based generative loss for training hand pose e...
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Convex Optimisation for Inverse Kinematics
We consider the problem of inverse kinematics (IK), where one wants to f...
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Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System
The performances of automatic speech recognition (ASR) systems are usual...
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An encoding framework with brain inner state for natural image identification
Neural encoding and decoding, which aim to characterize the relationship...
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Predicting Eating Events in Free Living Individuals -- A Technical Report
This technical report records the experiments of applying multiple machi...
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Low-Rank Phase Retrieval via Variational Bayesian Learning
In this paper, we consider the problem of low-rank phase retrieval whose...
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"Bilingual Expert" Can Find Translation Errors
Recent advances in statistical machine translation via the adoption of n...
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