[ECAI 2023] Official implementation of "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition"
☆13Oct 9, 2023Updated 2 years ago
Alternatives and similar repositories for FATRER
Users that are interested in FATRER are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The repository for ACL 2023 paper "Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations", and SemEval 202…☆36Nov 2, 2023Updated 2 years ago
- Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum☆30Dec 15, 2024Updated last year
- SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations☆15Jul 27, 2024Updated last year
- ☆12Oct 12, 2024Updated last year
- The code for Multi-Scale Receptive Field Graph Model for Emotion Recognition in Conversations☆11Jan 17, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆10Jan 18, 2024Updated 2 years ago
- Pytorch code for TAC accepted paper: "Cluster-Level Contrastive Learning for Emotion Recognition in Conversations"☆25Apr 16, 2023Updated 2 years ago
- ☆14Sep 2, 2023Updated 2 years ago
- ScrollNet for Continual Learning☆11Sep 11, 2023Updated 2 years ago
- ☆11Sep 17, 2024Updated last year
- Codes for paper "Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation" published in ECML-PKDD 2022…☆17Jul 6, 2022Updated 3 years ago
- code for "Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation, EMNLP 22"☆81Feb 9, 2023Updated 3 years ago
- Joint magnitude estimation and phase recovery using Cycle-in-Cycle GAN for non-parallel speech enhancement☆10Jan 24, 2022Updated 4 years ago
- source code for ICASSP 2022 paper: EmotionFlow: Capture the Dialogue Level Emotion Transitions