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08/08/2023
NEOLAF, an LLM-powered neural-symbolic cognitive architecture
This paper presents the Never Ending Open Learning Adaptive Framework (N...
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06/16/2023
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets
High-quality data is essential for conversational recommendation systems...
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06/02/2023
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
Search engine plays a crucial role in satisfying users' diverse informat...
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12/30/2022
Hierarchical Beam Training for Extremely Large-Scale MIMO: From Far-Field to Near-Field
Extremely large-scale MIMO (XL-MIMO) is a promising technique for future...
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10/27/2022
Clustering High-dimensional Data via Feature Selection
High-dimensional clustering analysis is a challenging problem in statist...
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10/05/2022
Rediscovery of Numerical Lüscher's Formula from the Neural Network
We present that by predicting the spectrum in discrete space from the ph...
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05/07/2022
Double-Side Near-Field Channel Estimation for Extremely Large-Scale MIMO System
Accurate channel estimation is essential to empower extremely large-scal...
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04/15/2022
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
Machine learning-based methods have achieved successful applications in ...
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03/30/2022
Near-Field Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions
Extremely large antenna array (ELAA) is a common feature of several key ...
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03/22/2022
Learning Confidence for Transformer-based Neural Machine Translation
Confidence estimation aims to quantify the confidence of the model predi...
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12/10/2021
Federated Two-stage Learning with Sign-based Voting
Federated learning is a distributed machine learning mechanism where loc...
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11/30/2021
CRIS: CLIP-Driven Referring Image Segmentation
Referring image segmentation aims to segment a referent via a natural li...
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10/31/2021
Interpreting Deep Knowledge Tracing Model on EdNet Dataset
With more deep learning techniques being introduced into the knowledge t...
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06/17/2021
Towards Heterogeneous Clients with Elastic Federated Learning
Federated learning involves training machine learning models over device...
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06/08/2021
Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention
Emotion recognition from speech is a challenging task. Re-cent advances ...
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06/02/2021
RevCore: Review-augmented Conversational Recommendation
Existing conversational recommendation (CR) systems usually suffer from ...
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04/20/2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
Position encoding in transformer architecture provides supervision for d...
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12/11/2020
Reconfigurable Intelligent Surface Based Hybrid Precoding for THz Communications
Terahertz (THz) communication has been considered as a promising technol...
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09/14/2020
GINet: Graph Interaction Network for Scene Parsing
Recently, context reasoning using image regions beyond local convolution...
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05/13/2020
Towards Interpretable Deep Learning Models for Knowledge Tracing
As an important technique for modeling the knowledge states of learners,...
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02/04/2020
Object Instance Mining for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) using only image-level annotat...
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01/31/2020
C-DLinkNet: considering multi-level semantic features for human parsing
Human parsing is an essential branch of semantic segmentation, which is ...
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11/26/2019
Learning Efficient Video Representation with Video Shuffle Networks
3D CNN shows its strong ability in learning spatiotemporal representatio...
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02/28/2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
Contextual bandits are widely used in Internet services from news recomm...
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05/25/2016
Exact Exponent in Optimal Rates for Crowdsourcing
In many machine learning applications, crowdsourcing has become the prim...
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12/01/2015
Optimal Estimation and Completion of Matrices with Biclustering Structures
Biclustering structures in data matrices were first formalized in a semi...
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04/09/2015
Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters
We describe a scheme to extract linearly supporting (LSU) features from ...
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10/03/2014
