Publications

A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl, ICTIR 2021 pdf

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models Daniel Cohen, Bhaskar Mitra, Navid Rekabsaz, Carsten Eickhoff, SIGIR 2021 pdf

Allowing for the Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates Daniel Cohen, SIGIR 2021 pdf

Evaluating the Performance of Reinforcement Learning Algorithms Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas, ICML 2020 pdf

Learning a Better Negative Sampling Policy with Deep Neural Networks for Search Daniel Cohen, Scott M. Jordan W. Bruce Croft, ICTIR 2019 pdf, bibtex Best Full Paper

An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists Yen-Chieh Lien, Daniel Cohen, W. Bruce Croft, ICTIR 2019 pdf, bibtex

The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller, EMNLP 2019 pdf/bibtex

Using Cumulative Distribution Based Performance Analysis to Benchmark Models Scott M. Jordan, Daniel Cohen, Philip S. Thomas, NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning pdf

Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks Daniel Cohen, Brendan O’Connor, W. Bruce Croft, ICTIR 2018, pdf, bibtex

Distributed Evaluations: Ending Neural Point Metrics Daniel Cohen, Scott M. Jordan, W. Bruce Croft, SIGIR 2018 Workshop on Learning from Limited or Noisy Data pdf/bibtex

Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks John Foley, Daniel Cohen, Hamed Zamani, James Allan, W. Bruce Croft, SIGIR 2018 pdf, bibtex

Cross Domain Regularization for Neural Ranking Models using Adversarial Learning Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft, SIGIR 2018, Best Short Paper pdf, bibtex

WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval Daniel Cohen, Liu Yang, W. Bruce Croft, SIGIR 2018 pdf bibtex

A Hybrid Embedding Approach to Noisy Answer Passage Retrieval Daniel Cohen, W. Bruce Croft, ECIR 2018 pdf, bibtex

End to End Long Short Term memory Networks for Non-Factoid Question Answering Daniel Cohen, W. Bruce Croft, ICTIR 2016 pdf, bibtex

Adaptability of Neural Networks on Varying Granularity IR Tasks Daniel Cohen, Qingyao Ai, W. Bruce Croft, SIGIR Neu-IR Workshop 2016 pdf