b'Ning Ding'

research

∙ 09/15/2023

The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset

Object detection is a crucial component of autonomous driving, and many ...

0 Ning Ding, et al. ∙

research

∙ 09/15/2023

Empowering Private Tutoring by Chaining Large Language Models

Artificial intelligence has been applied in various aspects of online ed...

0 Yulin Chen, et al. ∙

research

∙ 08/14/2023

Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder

In recent research, slight performance improvement is observed from auto...

0 Yusheng Dai, et al. ∙

research

∙ 07/05/2023

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models

The scale of large pre-trained models (PTMs) poses significant challenge...

0 Shengding Hu, et al. ∙

research

∙ 06/15/2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The unprecedented performance of large language models (LLMs) necessitat...

0 Jifan Yu, et al. ∙

research

∙ 06/04/2023

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models

Parameter-efficient tuning (PET) methods can effectively drive extremely...

2 Yusheng Su, et al. ∙

research

∙ 06/01/2023

Can Large Pre-trained Models Help Vision Models on Perception Tasks?

The recent upsurge in pre-trained large models (e.g. GPT-4) has swept ac...

0 Ning Ding, et al. ∙

research

∙ 05/31/2023

Exploring Lottery Prompts for Pre-trained Language Models

Consistently scaling pre-trained language models (PLMs) imposes substant...

0 Yulin Chen, et al. ∙

research

∙ 05/23/2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Fine-tuning on instruction data has been widely validated as an effectiv...

0 Ning Ding, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 05/11/2023

SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving

Object detection (OD) is crucial to autonomous driving. Unknown objects ...

0 Ning Ding, et al. ∙

research

∙ 05/11/2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering

Long-form question answering (LFQA) aims at answering complex, open-ende...

0 Yujia Qin, et al. ∙

research

∙ 05/07/2023

Estimation of control area in badminton doubles with pose information from top and back view drone videos

The application of visual tracking to the performance analysis of sports...

0 Ning Ding, et al. ∙

research

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

research

∙ 03/28/2023

Enhancing Depth Completion with Multi-View Monitored Distillation

This paper presents a novel method for depth completion, which leverages...

0 Jia-Wei Guo, et al. ∙

research

∙ 01/30/2023

FractalAD: A simple industrial anomaly segmentation method using fractal anomaly generation and backbone knowledge distillation

Although industrial anomaly detection (AD) technology has made significa...

0 Xuan Xia, et al. ∙

research

∙ 12/16/2022

Decoder Tuning: Efficient Language Understanding as Decoding

With the evergrowing sizes of pre-trained models (PTMs), it has been an ...

0 Ganqu Cui, et al. ∙

research

∙ 11/14/2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

The diverse relationships among real-world events, including coreference...

0 Xiaozhi Wang, et al. ∙

research

∙ 11/10/2022

Few-shot Classification with Hypersphere Modeling of Prototypes

Metric-based meta-learning is one of the de facto standards in few-shot ...

0 Ning Ding, et al. ∙

research

∙ 11/07/2022

EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals

A lack of driver's vigilance is the main cause of most vehicle crashes. ...

0 Ning Ding, et al. ∙

research

∙ 10/24/2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning

Delta tuning (DET, also known as parameter-efficient tuning) is deemed a...

0 Jing Yi, et al. ∙

research

∙ 06/15/2022

Sparse Structure Search for Parameter-Efficient Tuning

Adapting large pre-trained models (PTMs) through fine-tuning imposes pro...

11 Shengding Hu, et al. ∙

research

∙ 06/02/2022

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

To understand human behaviors, action recognition based on videos is a c...

17 Fei Wu, et al. ∙

research

∙ 04/24/2022

Source-Free Domain Adaptation via Distribution Estimation

Domain Adaptation aims to transfer the knowledge learned from a labeled ...

0 Ning Ding, et al. ∙

research

∙ 03/18/2022

Prototypical Verbalizer for Prompt-based Few-shot Tuning

Prompt-based tuning for pre-trained language models (PLMs) has shown its...

2 Ganqu Cui, et al. ∙

research

∙ 11/03/2021

OpenPrompt: An Open-source Framework for Prompt-learning

Prompt-learning has become a new paradigm in modern natural language pro...

5 Ning Ding, et al. ∙

research

∙ 10/15/2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning

How can pre-trained language models (PLMs) learn universal representatio...

1 Yujia Qin, et al. ∙

research

∙ 08/24/2021

Prompt-Learning for Fine-Grained Entity Typing

As an effective approach to tune pre-trained language models (PLMs) for ...

0 Ning Ding, et al. ∙

research

∙ 08/04/2021

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

Tuning pre-trained language models (PLMs) with task-specific prompts has...

0 Shengding Hu, et al. ∙

research

∙ 07/29/2021

Maximize the Foot Clearance for a Hopping Robotic Leg Considering Motor Saturation

A hopping leg, no matter in legged animals or humans, usually behaves li...

0 Juntong Su, et al. ∙

research

∙ 07/27/2021

Discriminative-Generative Representation Learning for One-Class Anomaly Detection

As a kind of generative self-supervised learning methods, generative adv...

0 Xuan Xia, et al. ∙

research

∙ 07/01/2021

CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding

Despite pre-trained language models have proven useful for learning high...

1 Dong Wang, et al. ∙

research

∙ 05/24/2021

PTR: Prompt Tuning with Rules for Text Classification

Fine-tuned pre-trained language models (PLMs) have achieved awesome perf...

0 Xu Han, et al. ∙

research

∙ 05/16/2021

Few-NERD: A Few-Shot Named Entity Recognition Dataset

Recently, considerable literature has grown up around the theme of few-s...

0 Ning Ding, et al. ∙

research

∙ 02/08/2021

A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining

This paper describes our submission for the End-to-end Multi-domain Task...

0 Boliang Zhang, et al. ∙

research

∙ 11/17/2020

Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels

Deep neural models have hitherto achieved significant performances on nu...

0 Yinghui Li, et al. ∙

research

∙ 09/11/2020

TP-LSD: Tri-Points Based Line Segment Detector

This paper proposes a novel deep convolutional model, Tri-Points Based L...

0 Siyu Huang, et al. ∙

research

∙ 07/19/2020

Length-Controllable Image Captioning

The last decade has witnessed remarkable progress in the image captionin...

12 Chaorui Deng, et al. ∙

research

∙ 07/16/2020

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

Fully supervised neural approaches have achieved significant progress in...

0 Ning Ding, et al. ∙

research

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

0 Kun Han, et al. ∙

research

∙ 02/19/2019

Wireless Key Generation from Imperfect Channel State Information: Performance Analysis and Improvements

The basis of generating secret key from the common wireless channel at t...

0 Xinrong Guan, et al. ∙

Ning Ding

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