publications


  • Oguz Kaan Yuksel, Enis Simsar, Ezgi Gulperi Er, Pinar Yanardag, LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions, International Conference on Computer Vision (ICCV), Canada, 2021 [PDF] [Code]

  • Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag, StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation, Winter Applications of Computer Vision (WACV), 2021

  • Dilara Gokay, Enis Simsar, Efehan Atici, Atif Emre Yilmaz, Alper Ahmetoglu, Pinar Yanardag, Graph2Pix: A Graph-Based Image to Image Translation Framework, Advances in Image Manipulation Workshop at ICCV, Canada, 2021 [PDF] [Code]

  • Pinar Yanardag, Manuel Cebrian, Iyad Rahwan, Shelley: A Crowd-sourced Collaborative Horror Writer, ACM Creativity & Cognition, 2021

  • Pinar Yanardag, Nick Obradovich, Manuel Cebrian, Iyad Rahwan, Nightmare Machine: A Large-scale Study to Induce Fear using Artificial Intelligence, International Conference on Computational Creativity (ICCC), 2021

  • Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, SVN Vishwanathan, WordRank: Learning Word Embeddings via Robust Ranking, The Conference on Empirical Methods on Natural Language Processing (EMNLP), Austin, 2016

  • Pinar Yanardag, SVN Vishwanathan, A Structural Smoothing Framework For Robust Graph Comparison, 29th Conference on Neural Information Processing Systems (NeurIPS), Canada, 2015

  • Pinar Yanardag, SVN Vishwanathan, Deep Graph Kernels, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Australia, 2015

  • Pinar Yanardag, SVN Vishwanathan, A Submodular Framework for Graph Comparison, Networks in the Social and Information Sciences Workshop at NeurIPS, Canada, 2015

  • Mariheida Cordova, Pinar Yanardag (Joint first-authors), Turning Down the Noise in Classrooms, Web Science and Technology for Education Workshop at WWW, Canada, 2016

  • Pinar Yanardag, Rean Griffith, Anne Holler, Xiaoyun Zhu, Vertical Scaling of Network I/O Reservations in Cloud Datacenters, RADIO, USA, 2014

  • Pinar Yanardag, Rean Griffith, Anne Holler, K. Shankari, Xiaoyun Zhu, Ravi Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Crowdsourced Resource Sizing of Virtual Appliances, 7th IEEE International Conference on Cloud Computing (IEEE CLOUD), USA, 2014

  • Pinar Yanardag, SVN Vishwanathan, Understanding and Analyzing Tweets using Submodularity, 22nd International World Wide Web Conference (WWW) Companion, Brazil, 2013

patents

  • Pinar Yanardag, Rean Griffith, Anne Holler, K. Shankari, Xiaoyun Zhu, Ravi Soundararajan, Adarsh Jagadeeshwaran, Pradeep Padala, Crowd-sourced Operational Metric Analysis of Virtual Appliances, US Patent US20150379167A1, 2015.