Skip to content
conftrace_

Carlotta Domeniconi

22 papers · 2013–2026 · 6 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

Jump to papers ↓
+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (44) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (4) 🀝 Dynamic Duo (18) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (100)

Venues

AAAI (9) IJCAI (9) ACL (1) AISTATS (1) EACL (1) NAACL (1)

Top co-authors

Guoxian Yu (18) Jun Wang (16) Zili Zhang (4) Xiangliang Zhang (4) Qiaoyu Tan (3) Maozu Guo (3) Jinglin Zhang (3) Yuying Xing (3) Liangrui Ren (2) Raj Patel (2)

Research topics

Machine Learning (21) Core Methods (16) Learning Types Β· Machine Learning (11) Artificial Intelligence (6) Deep Learning (5) Core AI (5) Application Areas (4) Architectures (4) Data Science & Analytics (2) Natural Language Processing (2) Applications (2) Learning Paradigms (2) Learning Types Β· Deep Learning (2) Knowledge & Reasoning (1) Mathematics & Optimization (1)

Keywords

multiple clustering (4) representation learning (3) multi-view learning (3) multi-label learning (3) matrix factorization (3) multi-instance learning (2) federated learning (2) subword attention (2) label propagation (2) causal graph (2) multi-view clustering (2) cross-modal hashing (2) feature extraction (1) transfer learning (1) dimensionality reduction (1) few-shot learning (1) feature learning (1) transformer architecture (1) semi-supervised learning (1) metric learning (1)

Papers

Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models EACL 2026 Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026 MLLM Enriched Explainable Multiple Clustering AAAI 2026 Aligning Contrastive Multiple Clusterings with User Interests IJCAI 2025 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings NAACL 2024 Enhancing Out-of-Vocabulary Estimation with Subword Attention ACL 2023 Incentive-Boosted Federated Crowdsourcing AAAI 2023 Long-Tail Cross Modal Hashing AAAI 2023 Hypergraph Simultaneous Generators AISTATS 2022 Few-Shot Partial-Label Learning IJCAI 2021 Crowdsourcing with Multiple-Source Knowledge Transfer IJCAI 2020 Multi-View Multiple Clusterings Using Deep Matrix Factorization AAAI 2020 Weakly-Supervised Multi-view Multi-instance Multi-label Learning IJCAI 2020 ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019 Multiple Independent Subspace Clusterings AAAI 2019 Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization AAAI 2019 Multi-View Multiple Clustering IJCAI 2019 Ranking-Based Deep Cross-Modal Hashing AAAI 2019 Incomplete Multi-View Weak-Label Learning IJCAI 2018 Multi-Label Co-Training IJCAI 2018 Protein Function Prediction by Integrating Multiple Kernels IJCAI 2013