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09/15/2023
Supervised Stochastic Neighbor Embedding Using Contrastive Learning
Stochastic neighbor embedding (SNE) methods t-SNE, UMAP are two most pop...
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08/22/2023
Four years of multi-modal odometry and mapping on the rail vehicles
Precise, seamless, and efficient train localization as well as long-term...
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07/22/2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Reconstructing Computed tomography (CT) images from sparse measurement i...
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07/12/2023
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Sparse-view computed tomography (CT) is a promising solution for expedit...
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05/24/2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Intent classification (IC) plays an important role in task-oriented dial...
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03/22/2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Artificial intelligence (AI) researchers have been developing and refini...
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02/26/2023
Independence-Encouraging Subsampling for Nonparametric Additive Models
The additive model is a popular nonparametric regression method due to i...
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02/16/2023
Conversation Style Transfer using Few-Shot Learning
Conventional text style transfer approaches for natural language focus o...
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02/13/2023
Finite element hybridization of port-Hamiltonian systems
In this contribution, we extend the hybridization framework for the Hodg...
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12/20/2022
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs
Functionality and dialogue experience are two important factors of task-...
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10/25/2022
NAS-PRNet: Neural Architecture Search generated Phase Retrieval Net for Off-axis Quantitative Phase Imaging
Single neural networks have achieved simultaneous phase retrieval with a...
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08/10/2022
Learning Degradation Representations for Image Deblurring
In various learning-based image restoration tasks, such as image denoisi...
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07/03/2022
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Vision-Language Pre-training (VLP) models have achieved state-of-the-art...
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06/09/2022
Unveiling Transformers with LEGO: a synthetic reasoning task
We propose a synthetic task, LEGO (Learning Equality and Group Operation...
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08/09/2021
Team Power and Hierarchy: Understanding Team Success
Teamwork is cooperative, participative and power sharing. In science of ...
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07/10/2021
Semi-Supervised Learning with Multi-Head Co-Training
Co-training, extended from self-training, is one of the frameworks for s...
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06/18/2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Novelty detection is the process of determining whether a query example ...
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05/24/2021
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Salient human detection (SHD) in dynamic 360 immersive videos is of grea...
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03/24/2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Lowering the radiation dose in computed tomography (CT) can greatly redu...
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02/16/2021
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate X-rays in computed tomography (CT) ...
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10/06/2020
Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
Importance weighting is naturally used to adjust for covariate shift. Ho...
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08/31/2020
RESA: Recurrent Feature-Shift Aggregator for Lane Detection
Lane detection is one of the most important tasks in self-driving. Due t...
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05/09/2020
Vehicle Re-Identification Based on Complementary Features
In this work, we present our solution to the vehicle re-identification (...
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06/27/2019
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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11/22/2018
Three-dimensional Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks
In recent years, there has been a growing interest in applying convoluti...
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06/08/2018
The Case for Full-Matrix Adaptive Regularization
Adaptive regularization methods come in diagonal and full-matrix variant...
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03/26/2018
Formal Power Series Solutions of Algebraic Ordinary Differential Equations
In this paper, we consider nonlinear algebraic ordinary differential equ...
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09/13/2017
