research
∙
09/20/2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Data-centric AI, with its primary focus on the collection, management, a...
share
research
∙
09/19/2023
Toward Unified Controllable Text Generation via Regular Expression Instruction
Controllable text generation is a fundamental aspect of natural language...
research
∙
06/17/2023
Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
Constructing commonsense knowledge graphs (CKGs) has attracted wide rese...
research
∙
06/05/2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Graph condensation, which reduces the size of a large-scale graph by syn...
research
∙
05/24/2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
In the constant updates of the product dialogue systems, we need to retr...
research
∙
02/23/2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Graph neural architecture search (NAS) has gained popularity in automati...
research
∙
12/14/2022
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
Harvesting question-answer (QA) pairs from customer service chatlog in t...
research
∙
11/08/2022
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
kNN-MT presents a new paradigm for domain adaptation by building an exte...
research
∙
10/28/2022
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis
Modality representation learning is an important problem for multimodal ...
research
∙
06/17/2022
Effective Solid State LiDAR Odometry Using Continuous-time Filter Registration
Solid-state LiDARs are more compact and cheaper than the conventional me...
research
∙
02/14/2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Recent years have witnessed fast developments of graph neural networks (...
research
∙
09/20/2021
Robust Physical-World Attacks on Face Recognition
Face recognition has been greatly facilitated by the development of deep...
research
∙
09/14/2021
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
Recently, kNN-MT has shown the promising capability of directly incorpor...
research
∙
05/27/2021
Adaptive Nearest Neighbor Machine Translation
kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully com...
research
∙
04/22/2021
Efficient LiDAR Odometry for Autonomous Driving
LiDAR odometry plays an important role in self-localization and mapping ...
research
∙
02/17/2021
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
In open domain table-to-text generation, we notice that the unfaithful g...
research
∙
02/15/2021
Neural Network Compression for Noisy Storage Devices
Compression and efficient storage of neural network (NN) parameters is c...
research
∙
10/08/2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
The prior work on natural language inference (NLI) debiasing mainly targ...
research
∙
03/05/2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Many recent studies have shown that for models trained on datasets for n...
research
∙
02/16/2020
Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques
Due to limited size and imperfect of the optical components in a spectro...
research
∙
12/27/2018
Quantile Treatment Effects and Bootstrap Inference under Covariate-Adaptive Randomization
This paper studies the estimation and inference of the quantile treatmen...
research
∙
12/26/2018
A Survey to Deep Facial Attribute Analysis
Facial attribute analysis has received considerable attention with the d...
research
∙
05/29/2017
