research
∙
08/28/2023
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis
We present an implementation of an online optimization algorithm for hit...
share
research
∙
07/05/2023
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions
A long-lasting goal of robotics research is to operate robots safely, wh...
research
∙
05/24/2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
In this paper, we present a method for table tennis ball trajectory filt...
research
∙
02/26/2023
A Dual-Cluster-Head Based Medium Access Control for Large-Scale UAV Ad-Hoc Networks
Unmanned Aerial Vehicle (UAV) ad hoc network has achieved significant gr...
research
∙
09/25/2022
A Tightly Coupled LiDAR-IMU Odometry through Iterated Point-Level Undistortion
Scan undistortion is a key module for LiDAR odometry in high dynamic env...
research
∙
04/09/2022
IDPG: An Instance-Dependent Prompt Generation Method
Prompt tuning is a new, efficient NLP transfer learning paradigm that ad...
research
∙
01/21/2022
Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks
The layout optimization of the heat conduction is essential during desig...
research
∙
12/07/2021
Reducing Target Group Bias in Hate Speech Detectors
The ubiquity of offensive and hateful content on online fora necessitate...
research
∙
12/07/2021
RID-Noise: Towards Robust Inverse Design under Noisy Environments
From an engineering perspective, a design should not only perform well i...
research
∙
11/28/2021
A Comprehensive and Cross-Platform Test Suite for Memory Safety – Towards an Open Framework for Testing Processor Hardware Supported Security Extensions
Memory safety remains a critical and widely violated property in reality...
research
∙
11/19/2021
Neural Image Beauty Predictor Based on Bradley-Terry Model
Image beauty assessment is an important subject of computer vision. Ther...
research
∙
10/14/2021
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Conventional fine-tuning of pre-trained language models tunes all model ...
research
∙
06/03/2021
Luna: Linear Unified Nested Attention
The quadratic computational and memory complexities of the Transformer's...
research
∙
04/29/2021
Entailment as Few-Shot Learner
Large pre-trained language models (LMs) have demonstrated remarkable abi...
research
∙
04/18/2021
On the Influence of Masking Policies in Intermediate Pre-training
Current NLP models are predominantly trained through a pretrain-then-fin...
research
∙
04/12/2021
On Unifying Misinformation Detection
In this paper, we introduce UnifiedM2, a general-purpose misinformation ...
research
∙
12/31/2020
Studying Strategically: Learning to Mask for Closed-book QA
Closed-book question-answering (QA) is a challenging task that requires ...
research
∙
12/31/2020
CLEAR: Contrastive Learning for Sentence Representation
Pre-trained language models have proven their unique powers in capturing...
research
∙
10/27/2020
A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
This paper designs a technique route to generate high-quality panoramic ...
research
∙
10/27/2020
A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System
Registration of 3D LiDAR point clouds with optical images is critical in...
research
∙
09/22/2020
Preserving Integrity in Online Social Networks
Online social networks provide a platform for sharing information and fr...
research
∙
06/15/2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks
Pretraining NLP models with variants of Masked Language Model (MLM) obje...
research
∙
06/08/2020
Linformer: Self-Attention with Linear Complexity
Large transformer models have shown extraordinary success in achieving s...
research
∙
06/07/2020
Language Models as Fact Checkers?
Recent work has suggested that language models (LMs) store both common-s...
research
∙
05/16/2020
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
With several advantages and as an alternative to predict physics field, ...
research
∙
01/06/2020
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
As an important technology in 3D mapping, autonomous driving, and robot ...
research
∙
11/07/2019
Blockwise Self-Attention for Long Document Understanding
We present BlockBERT, a lightweight and efficient BERT model that is des...
research
∙
06/26/2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
We study the problem of large-scale network embedding, which aims to lea...
research
∙
07/15/2018
DeepInf: Social Influence Prediction with Deep Learning
Social and information networking activities such as on Facebook, Twitte...
research
∙
06/10/2018
Collaboration Diversity and Scientific Impact
The shift from individual effort to collaborative output has benefited s...
research
∙
05/30/2018
A Web-scale system for scientific knowledge exploration
To enable efficient exploration of Web-scale scientific knowledge, it is...
research
∙
03/20/2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
We propose a new network architecture, Gated Attention Networks (GaAN), ...
research
∙
10/09/2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Since the invention of word2vec, the skip-gram model has significantly a...
research
∙
09/29/2017
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering
This paper proposes a novel neural machine reading model for open-domain...
research
∙
09/27/2017
KeyVec: Key-semantics Preserving Document Representations
Previous studies have demonstrated the empirical success of word embeddi...
research
∙
04/17/2017
