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Pinar Donmez

6 papers · 2010–2021 · 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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+1 more ↓ 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer

Venues

JMLR (2) AISTATS (1) COLING (1) ECCV (1) EMNLP (1)

Top co-authors

Krishnakumar Balasubramanian (3) Guy Lebanon (3) Michael White (2) Shashank Jain (2) Soumya Batra (2) Ankit Arun (2) Shawn Mei (2) Anuj Kumar (2) Vikas Bhardwaj (2) Peyman Heidari (2)

Research topics

Machine Learning (5) Learning Types · Machine Learning (4) Core Methods (3) Artificial Intelligence (2) Deep Learning (2) Natural Language Processing (1) Application Areas (1) Applications (1) Core AI (1) Generation (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Models (1)

Keywords

unlabeled data (3) natural language generation (2) transfer learning (2) margin-based classification (2) unsupervised learning (2) synthetic data generation (1) risk estimation (1) support vector machine (1) marginal distribution (1) high-dimensional data (1) data efficiency (1) sequence-to-sequence model (1) classifier evaluation (1) error estimation (1) grammatical correctness (1) semantic correctness (1) acceptability classification (1) regression error (1) production deployment (1) acceptability classifier (1)

Papers

Building Adaptive Acceptability Classifiers for Neural NLG EMNLP 2021 Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data COLING 2020 NoiseRank: Unsupervised Label Noise Reduction with Dependence Models ECCV 2020 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010