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08/16/2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
End-to-end task-oriented dialogue (TOD) systems have achieved promising ...
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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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08/04/2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Recent months have seen the emergence of a powerful new trend in which l...
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07/24/2023
Cross Contrastive Feature Perturbation for Domain Generalization
Domain generalization (DG) aims to learn a robust model from source doma...
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07/21/2023
Strip-MLP: Efficient Token Interaction for Vision MLP
Token interaction operation is one of the core modules in MLP-based mode...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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07/19/2023
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
Automated medical image classification is the key component in intellige...
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07/11/2023
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks
The success of the GPT series proves that GPT can extract general inform...
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06/28/2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Automated medical image segmentation inherently involves a certain degre...
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06/25/2023
When SAM Meets Sonar Images
Segment Anything Model (SAM) has revolutionized the way of segmentation....
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06/21/2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Advancements in adapting deep convolution architectures for Spiking Neur...
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05/12/2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Existing recommender systems face difficulties with zero-shot items, i.e...
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03/20/2023
Feature Alignment and Uniformity for Test Time Adaptation
Test time adaptation (TTA) aims to adapt deep neural networks when recei...
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03/07/2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
In this paper, considering the balance of data/model privacy of model ow...
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02/20/2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
When learning task-oriented dialogue (ToD) agents, reinforcement learnin...
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02/05/2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Domain Generalization (DG) is a fundamental challenge for machine learni...
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12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
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12/03/2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Quantifying the perceptual similarity of two images is a long-standing p...
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11/26/2022
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation
Unsupervised image semantic segmentation(UISS) aims to match low-level v...
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08/09/2022
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding
Partial least square regression (PLSR) is a widely-used statistical mode...
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07/02/2022
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach
Medical image synthesis has attracted increasing attention because it co...
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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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12/03/2021
Detect Faces Efficiently: A Survey and Evaluations
Face detection is to search all the possible regions for faces in images...
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09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
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06/26/2021
Learning from Synthetic Data for Opinion-free Blind Image Quality Assessment in the Wild
Nowadays, most existing blind image quality assessment (BIQA) models 1) ...
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03/06/2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Radiomic representations can quantify properties of regions of interest ...
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01/05/2021
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation
Multi-modal medical image segmentation plays an essential role in clinic...
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12/14/2020
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds
Shape modeling and reconstruction from raw point clouds of objects stand...
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08/03/2020
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation
Tackling domain shifts in multi-centre and multi-vendor data sets remain...
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07/10/2020
MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines
MultiWOZ is a well-known task-oriented dialogue dataset containing over ...
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04/03/2020
TEA: Temporal Excitation and Aggregation for Action Recognition
Temporal modeling is key for action recognition in videos. It normally c...
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01/25/2020
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation
Domain adaptation in healthcare data is a potentially critical component...
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08/25/2019
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
Analysis and modeling of the ventricles and myocardium are important in ...
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04/29/2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
Recent studies on medical image synthesis reported promising results usi...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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11/11/2018
Product Title Refinement via Multi-Modal Generative Adversarial Learning
Nowadays, an increasing number of customers are in favor of using E-comm...
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09/11/2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
With the development of cloud computing and big data, the reliability of...
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09/10/2018
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
The increasing demand for on-device deep learning services calls for a h...
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07/13/2018
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation
Segmentation of both large and small white matter hyperintensities/lesio...
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03/18/2018
Discriminative Learning of Latent Features for Zero-Shot Recognition
Zero-shot learning (ZSL) aims to recognize unseen image categories by le...
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02/27/2018
Mixed Supervised Object Detection with Robust Objectness Transfer
In this paper, we consider the problem of leveraging existing fully labe...
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02/14/2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
White matter hyperintensities (WMH) are commonly found in the brains of ...
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04/06/2017
