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08/22/2023
Careful at Estimation and Bold at Exploration
Exploration strategies in continuous action space are often heuristic du...
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08/07/2023
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
Learning-based image deraining methods have made great progress. However...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/15/2023
1st Solution Places for CVPR 2023 UG^2+ Challenge Track 2.2-Coded Target Restoration through Atmospheric Turbulence
In this technical report, we briefly introduce the solution of our team ...
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06/15/2023
1st Solution Places for CVPR 2023 UG^2+ Challenge Track 2.1-Text Recognition through Atmospheric Turbulence
In this technical report, we present the solution developed by our team ...
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06/13/2023
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
Offline reinforcement learning (RL) provides a promising solution to lea...
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06/08/2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning
Recent works have shown the potential of diffusion models in computer vi...
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05/22/2023
U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech
Deep learning has led to considerable advances in text-to-speech synthes...
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05/13/2023
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3
In this technical report, we briefly introduce the solution of our team ...
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03/24/2023
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow
Optical flow estimation has made great progress, but usually suffers fro...
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03/14/2023
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
Optical flow has achieved great success under clean scenes, but suffers ...
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01/23/2023
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
Heart sound auscultation has been demonstrated to be beneficial in clini...
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12/13/2022
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster
Artificial intelligence is to teach machines to take actions like humans...
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12/11/2022
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
Weakly-supervised text classification aims to train a classifier using o...
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11/07/2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Recently, discrete latent variable models have received a surge of inter...
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11/02/2022
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity
Most of the existing learning-based deraining methods are supervisedly t...
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10/26/2022
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning
Speech emotion recognition (SER) has been a popular research topic in hu...
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10/26/2022
Fast Yet Effective Speech Emotion Recognition with Self-distillation
Speech emotion recognition (SER) is the task of recognising human's emot...
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10/14/2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Multi-agent reinforcement learning has drawn increasing attention in pra...
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09/29/2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
Existing fake news detection methods aim to classify a piece of news as ...
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07/29/2022
A Survey of Learning on Small Data
Learning on big data brings success for artificial intelligence (AI), bu...
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05/20/2022
Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning
One of the major difficulties of reinforcement learning is learning from...
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05/19/2022
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems
Most NN-RSs focus on accuracy by building representations from the direc...
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03/30/2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Respiratory sound classification is an important tool for remote screeni...
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03/25/2022
Unsupervised Image Deraining: Optimization Model Driven Deep CNN
The deep convolutional neural network has achieved significant progress ...
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03/10/2022
Climate Change Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet
Among the seventeen Sustainable Development Goals (SDGs) proposed within...
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03/09/2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition
Due to the development of machine learning and speech processing, speech...
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01/25/2022
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that r...
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10/28/2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Despite the recent advances of graph neural networks (GNNs) in modeling ...
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09/23/2021
Orthogonal Graph Neural Networks
Graph neural networks (GNNs) have received tremendous attention due to t...
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09/06/2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction
Aspect-level sentiment classification (ALSC) aims at identifying the sen...
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08/06/2021
The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge
Aiming to automatically detect COVID-19 from cough sounds, we propose a ...
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07/05/2021
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words
It is important to learn joint embedding for 3D shapes and text in diffe...
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05/29/2021
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
In this paper, we study multi-dimensional image recovery. Recently, tran...
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05/28/2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
Post-click conversion, as a strong signal indicating the user preference...
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03/25/2021
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation
Existing deep learning-based image deraining methods have achieved promi...
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02/22/2021
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks
We study the problem of incorporating prior knowledge into a deep Transf...
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01/27/2021
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
The explosive growth of fake news along with destructive effects on poli...
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10/17/2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Imbalanced learning (IL), i.e., learning unbiased models from class-imba...
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08/22/2020
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior
Hyperspectral images (HSIs) are unavoidably corrupted by mixed noise whi...
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04/30/2020
Semantic Triple Encoder for Fast Open-Set Link Prediction
We improve both the open-set generalization and efficiency of link predi...
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01/17/2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Graph structured data has wide applicability in various domains such as ...
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09/08/2019
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Many real-world applications reveal difficulties in learning classifiers...
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09/08/2019
Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness
Many real-world applications reveal difficulties in learning classifiers...
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09/07/2019
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations
Extracting relational triples from unstructured text is crucial for larg...
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08/28/2019
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty
Tomb biographies of the Tang dynasty provide invaluable information abou...
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08/23/2019
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model
Entity extraction and relation extraction are two indispensable building...
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08/13/2019
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
In real-world question-answering (QA) systems, ill-formed questions, suc...
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03/01/2019
