Justin Payan

4 papers · 2021–2024 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15)

Venues

EMNLP (2) IJCAI (1) NeurIPS (1)

Top co-authors

Yair Zick (2) Anil Ramakrishna (1) Mukund Sridhar (1) Benjamin Van Durme (1) Cyrus Cousins (1) Rahul Gupta (1) Subhro Roy (1) Rasika Chakravarthy (1) Mukul Singh (1) Swaroop Mishra (1)

Research topics

Machine Learning (4) Learning Types (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Computer Science (1) Deep Learning (1) Mathematics & Optimization (1) Natural Language Processing (1) Applications (1) Core Methods (1) Generation (1) Models (1) Optimization (1)

Keywords

fair allocation (2) combinatorial optimization (1) stochastic optimization (1) continual learning (1) zero-shot learning (1) robust optimization (1) few-shot learning (1) named entity recognition (1) code generation (1) instruction following (1) mechanism design (1) constraint satisfaction (1) machine learning (1) approximation algorithm (1) welfare maximization (1) submodular function (1) welfare optimization (1) envy-free allocation (1) natural language interface (1) large language model (1)

Papers

Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 InstructExcel: A Benchmark for Natural Language Instruction in Excel EMNLP 2023 I Will Have Order! Optimizing Orders for Fair Reviewer Assignment IJCAI 2022 Towards Realistic Single-Task Continuous Learning Research for NER EMNLP 2021