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Daniel Cohen
Daniel Cohen
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Cited by
Cited by
Year
WikiPassageQA: A benchmark collection for research on non-factoid answer passage retrieval
D Cohen, L Yang, WB Croft
The 41st international ACM SIGIR conference on research & development in …, 2018
532018
End to end long short term memory networks for non-factoid question answering
D Cohen, WB Croft
Proceedings of the 2016 ACM International Conference on the Theory of …, 2016
522016
Cross domain regularization for neural ranking models using adversarial learning
D Cohen, B Mitra, K Hofmann, WB Croft
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
352018
Evaluating the performance of reinforcement learning algorithms
S Jordan, Y Chandak, D Cohen, M Zhang, P Thomas
International Conference on Machine Learning, 4962-4973, 2020
262020
Adaptability of neural networks on varying granularity IR tasks
D Cohen, Q Ai, WB Croft
arXiv preprint arXiv:1606.07565, 2016
252016
Universal approximation functions for fast learning to rank: Replacing expensive regression forests with simple feed-forward networks
D Cohen, J Foley, H Zamani, J Allan, WB Croft
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
142018
A hybrid embedding approach to noisy answer passage retrieval
D Cohen, WB Croft
European Conference on Information Retrieval, 127-140, 2018
122018
An assumption-free approach to the dynamic truncation of ranked lists
YC Lien, D Cohen, WB Croft
Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019
112019
Learning a better negative sampling policy with deep neural networks for search
D Cohen, SM Jordan, WB Croft
Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019
92019
Not all relevance scores are equal: Efficient uncertainty and calibration modeling for deep retrieval models
D Cohen, B Mitra, O Lesota, N Rekabsaz, C Eickhoff
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
82021
Using cumulative distribution based performance analysis to benchmark models
SM Jordan, D Cohen, PS Thomas
NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, 2018
82018
Distributed evaluations: Ending neural point metrics
D Cohen, SM Jordan, WB Croft
arXiv preprint arXiv:1806.03790, 2018
72018
A modern perspective on query likelihood with deep generative retrieval models
O Lesota, N Rekabsaz, D Cohen, KA Grasserbauer, C Eickhoff, M Schedl
Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021
62021
Understanding the representational power of neural retrieval models using NLP tasks
D Cohen, B O'Connor, WB Croft
Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018
62018
The challenges of optimizing machine translation for low resource cross-language information retrieval
C Lignos, D Cohen, YC Lien, P Mehta, WB Croft, S Miller
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
42019
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking
G Zerveas, N Rekabsaz, D Cohen, C Eickhoff
arXiv preprint arXiv:2112.08766, 2021
22021
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates
D Cohen
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
12021
Neural Methods for Answer Passage Retrieval over Sparse Collections
D Cohen
2021
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