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09/14/2023
Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)
This paper presents a novel evaluation approach to text-based speaker di...
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09/02/2023
Regularly Truncated M-estimators for Learning with Noisy Labels
The sample selection approach is very popular in learning with noisy lab...
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07/21/2023
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images
Knowledge distillation aims to learn a lightweight student network from ...
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07/19/2023
Are We Ready to Embrace Generative AI for Software Q A?
Stack Overflow, the world's largest software Q A (SQA) website, is fac...
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07/14/2023
Exploiting Counter-Examples for Active Learning with Partial labels
This paper studies a new problem, active learning with partial labels (A...
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05/26/2023
A Hierarchical Approach to Population Training for Human-AI Collaboration
A major challenge for deep reinforcement learning (DRL) agents is to col...
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05/24/2023
Directed Message Passing Based on Attention for Prediction of Molecular Properties
Molecular representation learning (MRL) has long been crucial in the fie...
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04/25/2023
Channel Estimation and Signal Detection for NLOS Ultraviolet Scattering Communication with Space Division Multiple Access
We design a receiver assembling several photomultipliers (PMTs) as an ar...
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04/01/2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
A backdoor attack allows a malicious user to manipulate the environment ...
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03/23/2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Robust generalization aims to tackle the most challenging data distribut...
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02/07/2023
Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals
The detection of human sleep stages is widely used in the diagnosis and ...
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01/06/2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
The deep reinforcement learning (DRL) algorithm works brilliantly on sol...
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11/22/2022
Unsupervised Domain Adaptation GAN Inversion for Image Editing
Existing GAN inversion methods work brilliantly for high-quality image r...
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10/31/2022
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data
Chinese word segmentation (CWS) models have achieved very high performan...
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10/26/2022
Discourse-Aware Emotion Cause Extraction in Conversations
Emotion Cause Extraction in Conversations (ECEC) aims to extract the utt...
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10/17/2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Graph contrastive learning (GCL) has recently emerged as an effective le...
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09/01/2022
Online Data Selection for Federated Learning with Limited Storage
Machine learning models have been deployed in mobile networks to deal wi...
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07/07/2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Machine learning models are vulnerable to Out-Of-Distribution (OOD) exam...
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06/27/2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
The memorization effect of deep neural networks (DNNs) plays a pivotal r...
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06/17/2022
Understanding Robust Overfitting of Adversarial Training and Beyond
Robust overfitting widely exists in adversarial training of deep network...
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05/13/2022
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
During the past decade, neural network models have made tremendous progr...
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03/21/2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
In real-world scenarios, many large-scale datasets often contain inaccur...
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02/27/2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification
Large training datasets almost always contain examples with inaccurate o...
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02/10/2022
Consistency and Diversity induced Human Motion Segmentation
Subspace clustering is a classical technique that has been widely used f...
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12/09/2021
Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning
Cooperation between agents in a multi-agent system (MAS) has become a ho...
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11/04/2021
Map-Assisted Power Allocation and Constellation Design for mmWave WDM with OAM in Short-Range LOS Environment
Consider a system that integrates positioning and single-user millimeter...
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10/12/2021
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding
Multimedia event detection is the task of detecting a specific event of ...
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09/24/2021
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
The framework of deep reinforcement learning (DRL) provides a powerful a...
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09/22/2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Variational autoencoders (VAEs), as an important aspect of generative mo...
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09/22/2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...
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07/21/2021
Music Plagiarism Detection via Bipartite Graph Matching
Nowadays, with the prevalence of social media and music creation tools, ...
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06/15/2021
Probabilistic Margins for Instance Reweighting in Adversarial Training
Reweighting adversarial data during training has been recently shown to ...
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06/11/2021
KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation
In semantic segmentation, we aim to train a pixel-level classifier to as...
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06/01/2021
An In-depth Study on Internal Structure of Chinese Words
Unlike English letters, Chinese characters have rich and specific meanin...
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05/31/2021
Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease
Speech disorders often occur at the early stage of Parkinson's disease (...
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05/12/2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Graph representation learning plays a vital role in processing graph-str...
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03/17/2021
Learning with Group Noise
Machine learning in the context of noise is a challenging but practical ...
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01/14/2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
The drastic increase of data quantity often brings the severe decrease o...
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12/14/2020
A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK
A reasonable prediction of infectious diseases transmission process unde...
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10/17/2020
LID 2020: The Learning from Imperfect Data Challenge Results
Learning from imperfect data becomes an issue in many industrial applica...
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09/19/2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Nowadays, deep learning methods, especially the Graph Convolutional Netw...
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09/15/2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Graph-based Semi-Supervised Learning (SSL) aims to transfer the labels o...
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09/26/2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
In hyperspectral image (HSI) classification, spatial context has demonst...
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07/19/2019
An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models
The stochastic volatility model is a popular tool for modeling the volat...
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06/01/2019
Are Anchor Points Really Indispensable in Label-Noise Learning?
In label-noise learning, noise transition matrix, denoting the probabili...
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05/14/2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Convolutional Neural Network (CNN) has demonstrated impressive ability t...
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04/22/2019
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver
We first investigate two-user nonasymmetric sum-rate Poisson capacity wi...
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04/15/2019
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
In this paper, we propose a novel matching based tracker by investigatin...
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04/08/2019
Ensemble Teaching for Hybrid Label Propagation
Label propagation aims to iteratively diffuse the label information from...
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04/05/2019