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DrHouse] Diagnostic System Using Sensor Information And Expertise
DrHouse] Diagnostic System Using Sensor Information And Expertise
Medical
Articles
A New Method For Global Description Of Heterogeneous Graph Neural Networks Using Description Logic
A New Method For Global Description Of Heterogeneous Graph Neural Networks Using Description Logic
GNN
A Comprehensive Survey Of The Current Status And Challenges Of AI-Based Predictive Maintenance In The Steel Industry
A Comprehensive Survey Of The Current Status And Challenges Of AI-Based Predictive Maintenance In Th ...
Prediction Model
Proposal Of An Optimization Method For Activation Functions And CRReLU Using Information Entropy
Proposal Of An Optimization Method For Activation Functions And CRReLU Using Information Entropy
Loss Function
[For Everyone To Enjoy The Convenience... Speaker Adaptation Of Dysarthric Speech Using Whisper
[For Everyone To Enjoy The Convenience... Speaker Adaptation Of Dysarthric Speech Using Whisper
Speech Recognition For The Dysarthric
Speech Processing Model That Defies Common Sense! The Amazing Performance Of The Speech Processing Model "SpeechT5" Developed By M ...
Speech Processing Model That Defies Common Sense! The Amazing Performance Of The Speech Processing M ...
Sound
[You're Using Wav2vec2 For This? It Makes Feature Extraction Of Dysarthric Speech More Efficient!
[You're Using Wav2vec2 For This? It Makes Feature Extraction Of Dysarthric Speech More Efficient!
Speech Recognition For The Dysarthric
Classification Tasks - Extremely Difficult! Use The WHFEMD Algorithm To Accurately And Efficiently Capture And Classify Features O ...
Classification Tasks - Extremely Difficult! Use The WHFEMD Algorithm To Accurately And Efficiently C ...
Speech Recognition For The Dysarthric
A Paper That Overturns Conventional Wisdom! The Classification Of Dysarthria Was Based On Noise, Not Characteristics!
A Paper That Overturns Conventional Wisdom! The Classification Of Dysarthria Was Based On Noise, Not ...
Speech Recognition For The Dysarthric
Equal Access To Convenience! EasyCall Corpus", A Speech Corpus For The Dysarthric
Equal Access To Convenience! EasyCall Corpus", A Speech Corpus For The Dysarthric
Speech Recognition For The Dysarthric
Question The "norm"! Noise Suppression Using Ultra-low Complexity DNN
Question The "norm"! Noise Suppression Using Ultra-low Complexity DNN
NOISE SUPPRESSION
LLM To Create Training Data For Domain Generalization
LLM To Create Training Data For Domain Generalization
Dataset Synthesis With LLM
LLM Agents Successfully Lead Customers To Purchase 35% Of The Time!
LLM Agents Successfully Lead Customers To Purchase 35% Of The Time!
ChatGPT
The Time Has Come For Everyone To Speak English! Zero-shot Text-to-speech Technology For Multiple Languages Makes It Easy For Anyo ...
The Time Has Come For Everyone To Speak English! Zero-shot Text-to-speech Technology For Multiple La ...
Speech Recognition For The Dysarthric
A New Prompting Method For Integrating Strategic Knowledge, Strategic Chain-of-Thought (SCoT), Has Emerged!
A New Prompting Method For Integrating Strategic Knowledge, Strategic Chain-of-Thought (SCoT), Has E ...
Chain-of-Thought
Construction And Analysis Of The "TruthEval" Dataset To Expose LLM Weaknesses
Construction And Analysis Of The "TruthEval" Dataset To Expose LLM Weaknesses
Large Language Models
MVANet: The Most Powerful Model For Background Removal
MVANet: The Most Powerful Model For Background Removal
Neural Network
SportQA, A New Dataset That Measures The Comprehension Of Sports In Large Language Models
SportQA, A New Dataset That Measures The Comprehension Of Sports In Large Language Models
Large Language Models
Wavelet Diffusion: The Fastest Diffusion Model
Wavelet Diffusion: The Fastest Diffusion Model
Image Generation
Improved Accuracy And Transparency Of Face Recognition With ChatGPT, New Developments In Soft Biometrics
Improved Accuracy And Transparency Of Face Recognition With ChatGPT, New Developments In Soft Biomet ...
Large Language Models
![[RL-GPT] A Framework](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/March2024/rl-gpt-520x300.png)
[RL-GPT] A Framework To Acquire Diamonds Several Times Faster Than Usual With Mincraft Is Now Available
[RL-GPT] A Framework To Acquire Diamonds Several Times Faster Than Usual With Mincraft Is Now Availa ...
Machine Learning
A Framework Is Now Available That Allows LLMs To Assess Human Personality Using The MBTI!
A Framework Is Now Available That Allows LLMs To Assess Human Personality Using The MBTI!
ChatGPT
Mask R-CNN: Efficient Detection Of Objects In Images
Mask R-CNN: Efficient Detection Of Objects In Images
Computer Vision
Graphs Are So Awesome! Review Of Integration With Deep Learning
Graphs Are So Awesome! Review Of Integration With Deep Learning
GNN
The First Framework To Utilize LLM To Detect Fake News Is Now Available!
The First Framework To Utilize LLM To Detect Fake News Is Now Available!
Fakenews
LLM Agents Successfully Lead Customers To Purchase 35% Of The Time!
LLM Agents Successfully Lead Customers To Purchase 35% Of The Time!
ChatGPT
![[DPO] A Method For D](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/January2024/direct_preference_optimization-520x300.png)
[DPO] A Method For Directly Matching Large-scale Language Models To User Preferences Without Using Reinforcement Learning
[DPO] A Method For Directly Matching Large-scale Language Models To User Preferences Without Using R ...
RLHF
Easy! High Accuracy! Attractiveness Of The Anomaly Detection Model PatchCore
Easy! High Accuracy! Attractiveness Of The Anomaly Detection Model PatchCore
Object Detection
![[Swin Transformer] T](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/February2024/swin_transformer-520x300.png)
[Swin Transformer] Transformer-based Image Recognition Models To Keep Now!
[Swin Transformer] Transformer-based Image Recognition Models To Keep Now!
Image Recognition
StrongSORT: DeepSORT Is Back Stronger! Upgraded Tracking Model!
StrongSORT: DeepSORT Is Back Stronger! Upgraded Tracking Model!
Object Tracking
Understanding The Behavior Of Contrastive Loss
Understanding The Behavior Of Contrastive Loss
Contrastive Learning