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09/15/2023
The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset
Object detection is a crucial component of autonomous driving, and many ...
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09/15/2023
Empowering Private Tutoring by Chaining Large Language Models
Artificial intelligence has been applied in various aspects of online ed...
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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...
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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...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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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...
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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...
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05/31/2023
Exploring Lottery Prompts for Pre-trained Language Models
Consistently scaling pre-trained language models (PLMs) imposes substant...
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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...
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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...
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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 ...
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05/11/2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Long-form question answering (LFQA) aims at answering complex, open-ende...
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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...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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03/28/2023
Enhancing Depth Completion with Multi-View Monitored Distillation
This paper presents a novel method for depth completion, which leverages...
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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...
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12/16/2022
Decoder Tuning: Efficient Language Understanding as Decoding
With the evergrowing sizes of pre-trained models (PTMs), it has been an ...
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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...
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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 ...
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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. ...
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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...
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06/15/2022
Sparse Structure Search for Parameter-Efficient Tuning
Adapting large pre-trained models (PTMs) through fine-tuning imposes pro...
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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...
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04/24/2022
Source-Free Domain Adaptation via Distribution Estimation
Domain Adaptation aims to transfer the knowledge learned from a labeled ...
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03/18/2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
Prompt-based tuning for pre-trained language models (PLMs) has shown its...
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11/03/2021
OpenPrompt: An Open-source Framework for Prompt-learning
Prompt-learning has become a new paradigm in modern natural language pro...
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10/15/2021
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
How can pre-trained language models (PLMs) learn universal representatio...
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08/24/2021
Prompt-Learning for Fine-Grained Entity Typing
As an effective approach to tune pre-trained language models (PLMs) for ...
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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...
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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...
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07/27/2021
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
As a kind of generative self-supervised learning methods, generative adv...
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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...
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05/24/2021
PTR: Prompt Tuning with Rules for Text Classification
Fine-tuned pre-trained language models (PLMs) have achieved awesome perf...
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05/16/2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Recently, considerable literature has grown up around the theme of few-s...
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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...
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11/17/2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Deep neural models have hitherto achieved significant performances on nu...
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09/11/2020
TP-LSD: Tri-Points Based Line Segment Detector
This paper proposes a novel deep convolutional model, Tri-Points Based L...
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07/19/2020
Length-Controllable Image Captioning
The last decade has witnessed remarkable progress in the image captionin...
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07/16/2020
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Fully supervised neural approaches have achieved significant progress in...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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02/19/2019
