Update README.md

README.md

@@ -14,6 +14,49 @@ A curated list of Datasets, Models and Papers for Music Emotion Recognition (MER
 - [Datasets](#datasets)
 
 ## Models
+| Paper | Year | Feature Modalities | Approach | Emotion Model | Dataset |
+|-------|------|--------------------|----------|---------------|---------|
+| Recognizing Song Mood and Theme: Clustering-based Ensembles | - | - | Clustering-based Ensembles | - | - |
+| Semi-Supervised Music Emotion Recognition using Noisy Student Training and Harmonic Pitch Class Profiles | - | - | Semi-Supervised, Noisy Student Training, Harmonic Pitch Class Profiles | - | - |
+| Frequency Dependent Convolutions for Music Tagging | - | - | Frequency Dependent Convolutions | - | - |
+| SELAB-HCMUS at MediaEval 2021: Music Theme and Emotion Classification with Co-teaching Training Strategy | - | - | Co-teaching Training Strategy | - | - |
+| Music Emotion Recognition using Recurrent Neural Networks and Pretrained Models | 2021 | - | Recurrent Neural Networks, Pretrained Models | - | - |
+| Study on Music Emotion Recognition Based on the Machine Learning Model Clustering Algorithm | 2022 | - | Machine Learning Model Clustering Algorithm | - | - |
+| Tracing Back Music Predictions to Sound Sources and Intuitive Perceptual Qualities | 2021 | - | - | - | - |
+| Music Mood Detection Based On Audio And Lyrics With Deep Neural Net | 2018 | Audio, Lyrics | Deep Neural Net | - | - |
+| Transformer-based approach towards music emotion recognition from lyrics | 2021 | Lyrics | Transformer-based | - | - |
+| Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles | 2021 | Harmonic Pitch Class Profiles | Noisy Student Training | - | - |
+| Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics | 2023 | Audio, Lyrics | Multi-Modality | - | - |
+| Music Emotion Recognition Based on a Neural Network with an Inception-GRU Residual Structure | 2023 | - | Neural Network with Inception-GRU Residual Structure | - | - |
+| A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition | 2022 | - | Multi-Task Learning | - | - |
+| Feature Selection Approaches for Optimising Music Emotion Recognition Methods | 2022 | - | Feature Selection | - | - |
+| Modelling Emotion Dynamics in Song Lyrics with State Space Models | 2022 | Lyrics | State Space Models | - | - |
+| Fine-tuned XLMRoBERTa for Music Emotion Recognition in Telugu Songs | 2023 | - | Fine-tuned XLMRoBERTa | - | - |
+| Deep Learning for Music Emotion Recognition: A Survey | 2020 | - | Deep Learning | - | - |
+| Convolutional Neural Networks with Local Attention for Music Emotion Recognition | 2020 | - | Convolutional Neural Networks, Local Attention | - | - |
+| Emotion Recognition from Music and Lyrics: A Deep Learning Approach | 2019 | Audio, Lyrics | Deep Learning | - | - |
+| A Survey on Multimodal Music Emotion Recognition | 2020 | Audio, Lyrics | Multimodal | - | - |
+| Context-Aware Music Emotion Recognition Using Attention Based Neural Networks | 2020 | - | Attention Based Neural Networks | - | - |
+| Personalization of Music Emotion Recognition: A User-Adaptive Deep Learning Approach | 2021 | - | User-Adaptive Deep Learning | - | - |
+| Towards Explainable Music Emotion Recognition: A Case Study with Transformers | 2022 | - | Transformers | - | - |
+| Explainable Music Emotion Recognition with Attention-Based Capsule Networks | 2023 | - | Attention-Based Capsule Networks | - | - |
+| Music Emotion Recognition for More Than Basic Emotions | 2020 | - | - | More Than Basic Emotions | - |
+| Dimensional Music Emotion Recognition with a Multi-Task Learning Approach | 2022 | - | Multi-Task Learning | Dimensional | - |
+| Music Emotion Recognition with Self-Attention Based Capsule Networks | 2022 | - | Self-Attention Based Capsule Networks | - | - |
+| A Generative Adversarial Network Approach for Learning Emotion Representations from Music Audio | 2020 | - | Generative Adversarial Network | - | - |
+| Music Emotion Transfer with Conditional Variational Autoencoders | 2021 | - | Conditional Variational Autoencoders | - | - |
+| Musical Genre Aware Music Emotion Recognition with Attention Mechanism | 2022 | - | Attention Mechanism | - | - |
+| Music Emotion Recognition in Social Media Videos | 2020 | - | - | - | - |
+| Music Emotion Recognition with Graph Convolutional Networks | 2023 | - | Graph Convolutional Networks | - | - |
+| Music Emotion Recognition Using Transformers with Rhythm Attention | 2023 | - | Transformers with Rhythm Attention | - | - |
+| Music Recommendation with Emotion-Aware Generative Adversarial Networks | 2022 | - | Emotion-Aware Generative Adversarial Networks | - | - |
+| Generating Emotional Music with Conditional Variational Autoencoders | 2021 | - | Conditional Variational Autoencoders | - | - |
+| The DEAP Dataset for Recognition of Human Emotions | 2012 | - | - | - | DEAP Dataset |
+| A Dataset for Music Emotion Recognition in the Wild | 2018 | - | - | - | Music Emotion Recognition in the Wild Dataset |
+| Music Emotion Recognition from Lyrics Using Deep Attention Networks | 2020 | Lyrics | Deep Attention Networks | - | - |
+| Music Emotion Recognition with Multimodal Fusion of Lyrics and Spectrograms | 2022 | Audio, Lyrics, Spectrograms | Multimodal Fusion | - | - |
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 ## Datasets
 | Dataset                    | Year | Content                            | Format | Size   | Type                    | Perceived/Induced       |