Depression Detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 39 papers with code (157 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Gender Bias in Depression Detection Using Audio Features
  28 Oct 2020 3 repositories listed
  Depression is a large-scale mental health problem and a challenging area for machine learning researchers in detection of depression.
• EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
  11 Dec 2024 2 repositories listed
  While Multimodal Large Language Models (MLLMs) demonstrate robust general capabilities, they face considerable challenges in the field of affective computing, particularly in detecting subtle facial expressions and…
• LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
  9 May 2024 2 repositories listed
  Depression can significantly impact many aspects of an individual's life, including their personal and social functioning, academic and work performance, and overall quality of life.
• Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
  3 Jul 2023 2 repositories listed
  We propose a simple approach for weighting self-connecting edges in a Graph Convolutional Network (GCN) and show its impact on depression detection from transcribed clinical interviews.
• Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model
  15 Feb 2022 2 repositories listed
  Depression is a global mental health problem, the worst case of which can lead to suicide.
• Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge
  28 May 2025 1 repository listed
  We also propose a novel strategy for incorporating psychological knowledge into LLMs to enhance diagnostic performance, specifically using a question and answer set to grant authorised knowledge to LLMs.
• Enhancing Depression Detection via Question-wise Modality Fusion
  26 Mar 2025 1 repository listed
  The performance of our framework is comparable to the current state-of-the-art models on the E-DAIC dataset and enhances interpretability by predicting scores for each question.
• Towards Explainable Multimodal Depression Recognition for Clinical Interviews
  27 Jan 2025 1 repository listed
  To tackle the EMDRC task, we construct a new dataset based on an existing MDRC dataset.
• Context-Aware Deep Learning for Multi Modal Depression Detection
  26 Dec 2024 1 repository listed
  In this study, we focus on automated approaches to detect depression from clinical interviews using multi-modal machine learning (ML).
• DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection
  24 Sep 2024 1 repository listed
  Although promising, current multimodal methods hinge on aligned or aggregated multimodal fusion, suffering two significant limitations: (i) inefficient long-range temporal modeling, and (ii) sub-optimal multimodal…
• HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
  7 Aug 2024 1 repository listed
  The utilization of automated depression detection significantly enhances early intervention for individuals experiencing depression.
• FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks
  7 Aug 2024 1 repository listed
  Depression is a prevalent mental health disorder that significantly impacts individuals' lives and well-being.
• DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
  22 Apr 2024 1 repository listed
  Finally, to highlight the magnitude of this bias, we achieve a 0.
• Multi Class Depression Detection Through Tweets using Artificial Intelligence
  19 Apr 2024 1 repository listed
  About 4.
• A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech
  28 Feb 2024 1 repository listed
  On the DAIC-WOZ dataset with ComparE16 features and an LSTM-only model, our method achieves an F1-Score of 0.
• Detecting mental disorder on social media: a ChatGPT-augmented explainable approach
  30 Jan 2024 1 repository listed
  In the digital era, the prevalence of depressive symptoms expressed on social media has raised serious concerns, necessitating advanced methodologies for timely detection.
• Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study
  14 Jan 2024 1 repository listed
  The study categorized Reddit and X datasets into "Depressive" and "Non-Depressive" segments, translated into Bengali by native speakers with expertise in mental health, resulting in the creation of the Bengali Social…
• Reading Between the Frames: Multi-Modal Depression Detection in Videos from Non-Verbal Cues
  5 Jan 2024 1 repository listed
  Depression, a prominent contributor to global disability, affects a substantial portion of the population.
• DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text
  8 Nov 2023 1 repository listed
  In this paper, we delineate the strategy employed by our team, DeepLearningBrasil, which secured us the first place in the shared task DepSign-LT-EDI@RANLP-2023, achieving a 47.
• Attention-Based Acoustic Feature Fusion Network for Depression Detection
  24 Aug 2023 1 repository listed
  To rectify this, we present the novel Attention-Based Acoustic Feature Fusion Network (ABAFnet) for depression detection.
• A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023
  28 Jun 2023 1 repository listed
  This paper describes our participation in the MentalRiskES task at IberLEF 2023.
• Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals
  2 Jun 2023 1 repository listed
  We find that a greater adversarial weight for the initial layers leads to performance improvement.
• Detection of depression on social networks using transformers and ensembles
  9 May 2023 1 repository listed
  As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing information with community about our…
• It's Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers
  13 Jan 2023 1 repository listed
  In this work, we propose a flexible time-enriched multimodal transformer architecture for detecting depression from social media posts, using pretrained models for extracting image and text embeddings.
• GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
  4 Nov 2022 1 repository listed
  We envision our multi-year datasets can support the ML community in developing generalizable longitudinal behavior modeling algorithms.
• Multi-Task Learning for Depression Detection in Dialogs
  21 Jul 2022 1 repository listed
  Depression is a serious mental illness that impacts the way people communicate, especially through their emotions, and, allegedly, the way they interact with others.
• TBD3: A Thresholding-Based Dynamic Depression Detection from Social Media for Low-Resource Users
  1 Jun 2022 1 repository listed
  To complement this evaluation, we propose a dynamic thresholding technique that adjusts the classifier’s sensitivity as a function of the number of posts a user has.
• Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
  19 May 2022 1 repository listed
  Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat.
• Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice
  14 May 2022 1 repository listed
  With the availability of voice-enabled devices such as smart phones, mental health disorders could be detected and treated earlier, particularly post-pandemic.
• OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
  1 May 2022 1 repository listed
  We fine-tuned selected models: BERT, RoBERTa, XLNet, of which the best results were obtained for RoBERTa.