Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors
Fuente:
arXiv
Guardado en:
| Autores principales: | Asokan, Ashish Ramayee, Kumar, Nidarshan, Ragam, Anirudh Venkata, Sharath, Shylaja S |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
por: Rangwani, Harsh, et al.
Publicado: (2024)
por: Rangwani, Harsh, et al.
Publicado: (2024)
On The Variability of Concept Activation Vectors
por: Wenkmann, Julia, et al.
Publicado: (2025)
por: Wenkmann, Julia, et al.
Publicado: (2025)
DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems
por: Kabgere, Chethana Prasad, et al.
Publicado: (2025)
por: Kabgere, Chethana Prasad, et al.
Publicado: (2025)
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
por: Addepalli, Sravanti, et al.
Publicado: (2023)
por: Addepalli, Sravanti, et al.
Publicado: (2023)
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
por: Hassanpour, Reza, et al.
Publicado: (2024)
por: Hassanpour, Reza, et al.
Publicado: (2024)
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions
por: Kumar, Puneet, et al.
Publicado: (2020)
por: Kumar, Puneet, et al.
Publicado: (2020)
Concept Boundary Vectors
por: Walker, Thomas
Publicado: (2024)
por: Walker, Thomas
Publicado: (2024)
Concept-Centric Token Interpretation for Vector-Quantized Generative Models
por: Yang, Tianze, et al.
Publicado: (2025)
por: Yang, Tianze, et al.
Publicado: (2025)
$α$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
por: Schnoor, Ekkehard, et al.
Publicado: (2026)
por: Schnoor, Ekkehard, et al.
Publicado: (2026)
Interpretable Multi-Task PINN for Emotion Recognition and EDA Prediction
por: Mandal, Nischal
Publicado: (2025)
por: Mandal, Nischal
Publicado: (2025)
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
por: Nguyen, Cam-Van Thi, et al.
Publicado: (2024)
por: Nguyen, Cam-Van Thi, et al.
Publicado: (2024)
Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition
por: Wang, Zeheng, et al.
Publicado: (2026)
por: Wang, Zeheng, et al.
Publicado: (2026)
Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion
por: Li, Jiagen, et al.
Publicado: (2025)
por: Li, Jiagen, et al.
Publicado: (2025)
On the Geometric Coherence of Global Aggregation in Federated Graph Neural Networks
por: Kabgere, Chethana Prasad, et al.
Publicado: (2026)
por: Kabgere, Chethana Prasad, et al.
Publicado: (2026)
Multimodal Functional Maximum Correlation for Emotion Recognition
por: Zheng, Deyang, et al.
Publicado: (2025)
por: Zheng, Deyang, et al.
Publicado: (2025)
Calibrating Multimodal Consensus for Emotion Recognition
por: Zhong, Guowei, et al.
Publicado: (2025)
por: Zhong, Guowei, et al.
Publicado: (2025)
FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
por: Gül, Baran Can, et al.
Publicado: (2025)
por: Gül, Baran Can, et al.
Publicado: (2025)
Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation
por: Lyu, Xiaosen, et al.
Publicado: (2025)
por: Lyu, Xiaosen, et al.
Publicado: (2025)
Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
por: Mai, Anh-Tuan, et al.
Publicado: (2026)
por: Mai, Anh-Tuan, et al.
Publicado: (2026)
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
por: Meng, Tao, et al.
Publicado: (2024)
por: Meng, Tao, et al.
Publicado: (2024)
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
por: Lopez, Eleonora, et al.
Publicado: (2024)
por: Lopez, Eleonora, et al.
Publicado: (2024)
Interpretability for Time Series Transformers using A Concept Bottleneck Framework
por: van Sprang, Angela, et al.
Publicado: (2024)
por: van Sprang, Angela, et al.
Publicado: (2024)
Concept Gradient: Concept-based Interpretation Without Linear Assumption
por: Bai, Andrew, et al.
Publicado: (2022)
por: Bai, Andrew, et al.
Publicado: (2022)
Multimodal Arabic Captioning with Interpretable Visual Concept Integration
por: Elchafei, Passant, et al.
Publicado: (2025)
por: Elchafei, Passant, et al.
Publicado: (2025)
Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition
por: Nguyen, Phuong-Anh, et al.
Publicado: (2026)
por: Nguyen, Phuong-Anh, et al.
Publicado: (2026)
Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms
por: Akula, Sree Pooja, et al.
Publicado: (2024)
por: Akula, Sree Pooja, et al.
Publicado: (2024)
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
por: Pahde, Frederik, et al.
Publicado: (2022)
por: Pahde, Frederik, et al.
Publicado: (2022)
On the Non-Identifiability of Steering Vectors in Large Language Models
por: Venkatesh, Sohan, et al.
Publicado: (2026)
por: Venkatesh, Sohan, et al.
Publicado: (2026)
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
por: Ferreira, Alef Iury Siqueira, et al.
Publicado: (2025)
por: Ferreira, Alef Iury Siqueira, et al.
Publicado: (2025)
Emotion Detection from EEG using Transfer Learning
por: Sidharth, Sidharth, et al.
Publicado: (2023)
por: Sidharth, Sidharth, et al.
Publicado: (2023)
Joint Multimodal Transformer for Emotion Recognition in the Wild
por: Waligora, Paul, et al.
Publicado: (2024)
por: Waligora, Paul, et al.
Publicado: (2024)
Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching
por: Bahador, Nooshin
Publicado: (2025)
por: Bahador, Nooshin
Publicado: (2025)
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
por: Schmalwasser, Laines, et al.
Publicado: (2025)
por: Schmalwasser, Laines, et al.
Publicado: (2025)
Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities
por: Liu, Rui, et al.
Publicado: (2025)
por: Liu, Rui, et al.
Publicado: (2025)
Latent Distribution Decoupling: A Probabilistic Framework for Uncertainty-Aware Multimodal Emotion Recognition
por: Huang, Jingwang, et al.
Publicado: (2025)
por: Huang, Jingwang, et al.
Publicado: (2025)
OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
por: Yan, Xueming, et al.
Publicado: (2025)
por: Yan, Xueming, et al.
Publicado: (2025)
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
por: Sundar, Anirudh S., et al.
Publicado: (2023)
por: Sundar, Anirudh S., et al.
Publicado: (2023)
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
por: Wu, Yifan, et al.
Publicado: (2024)
por: Wu, Yifan, et al.
Publicado: (2024)
Explaining Concept Shift with Interpretable Feature Attribution
por: Lyu, Ruiqi, et al.
Publicado: (2025)
por: Lyu, Ruiqi, et al.
Publicado: (2025)
Interpretable Reward Modeling with Active Concept Bottlenecks
por: Laguna, Sonia, et al.
Publicado: (2025)
por: Laguna, Sonia, et al.
Publicado: (2025)
Ejemplares similares
-
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
por: Rangwani, Harsh, et al.
Publicado: (2024) -
On The Variability of Concept Activation Vectors
por: Wenkmann, Julia, et al.
Publicado: (2025) -
DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems
por: Kabgere, Chethana Prasad, et al.
Publicado: (2025) -
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
por: Addepalli, Sravanti, et al.
Publicado: (2023) -
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
por: Hassanpour, Reza, et al.
Publicado: (2024)