Slim Essid
14 papers · 2017–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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The Questioner
💎
Century Club · Bronze
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Keyword Collector
(72)
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(8)
Artificial Intelligence
(7)
Learning Types · Machine Learning
(7)
Core AI · Artificial Intelligence
(6)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Computer Vision
(3)
Speech & Audio
(3)
Application Areas
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Architectures
(2)
Core AI · Computer Vision
(2)
Optimization
(2)
Keywords
self-supervised learning
(4)
representation learning
(3)
opinion mining
(3)
multimodal learning
(3)
data augmentation
(2)
multiple choice learning
(2)
contrastive learning
(2)
zero-shot learning
(2)
transfer learning
(1)
attention mechanism
(1)
domain generalization
(1)
uncertainty quantification
(1)
domain randomization
(1)
speech recognition
(1)
curriculum learning
(1)
speaker recognition
(1)
speaker embedding
(1)
sentiment classification
(1)
domain adaptation
(1)
semantic segmentation
(1)
Papers
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
MTSE: Multi-Target Speaker Extraction for Conversation Scenarios
Interspeech 2025
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
NeurIPS 2024
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
NeurIPS 2024
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
CVPR 2024
Winner-takes-all learners are geometry-aware conditional density estimators
ICML 2024
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations
Interspeech 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
NeurIPS 2023
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?
Interspeech 2023
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning
Interspeech 2022
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning
Interspeech 2021
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
EMNLP 2019
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
ICML 2018
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields
Interspeech 2017