Daniel Cohen

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 42

Top Topics

Retrieval Model

Temporal Difference

Multiattribute Utility

Passage Retrieval

Top Venues

Publications

Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar
In-Context Example Ordering Guided by Label Distributions. CoRR (2024)
Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models. CoRR (2024)
Daniel Cohen, Sarel Cohen, Dalit Naor, Daniel G. Waddington, Moshik Hershcovitch
Dictionary Based Cache Line Compression. HotStorage (2024)
Daniel Cohen, Sarel Cohen, Dalit Naor, Daniel G. Waddington, Moshik Hershcovitch
Cache Line Deltas Compression. SYSTOR (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR (2023)
Zhichao Xu, Daniel Cohen
A Lightweight Constrained Generation Alternative for Query-focused Summarization. SIGIR (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR (2023)
Zhichao Xu, Daniel Cohen
A Lightweight Constrained Generation Alternative for Query-focused Summarization. CoRR (2023)
Daniel Williams, Chelece Clark, Rachel McGahan, Bradley Potteiger, Daniel Cohen, Patrick Musau
Discovery of AI/ML Supply Chain Vulnerabilities within Automotive Cyber-Physical Systems. ICAA (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP (2022)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR (2022)
Daniel Cohen, Amir Elalouf, Raz Zeev
" hacker and an organization in a two-stage cybersecurity game. Int. J. Inf. Manag. Data Insights 2 (1) (2022)
Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR (2022)
Alexey Zagalsky, Dov Te'eni, Inbal Yahav, David G. Schwartz, Gahl Silverman, Daniel Cohen, Yossi Mann, Dafna Lewinsky
The Design of Reciprocal Learning Between Human and Artificial Intelligence. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Daniel Cohen
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. SIGIR (2021)
George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR (2021)
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. CoRR (2021)
Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR (2021)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control. CoRR (2021)
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. SIGIR (2021)
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan
Machine Learning for Mechanical Ventilation Control (Extended Abstract). CoRR (2021)
Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas
Evaluating the Performance of Reinforcement Learning Algorithms. CoRR (2020)
Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas
Evaluating the Performance of Reinforcement Learning Algorithms. ICML (2020)
Rahul Anand Sharma, Adwait Dongare, John Miller, Nicholas Wilkerson, Daniel Cohen, Vyas Sekar, Prabal Dutta, Anthony Rowe
All that GLITTERs: Low-Power Spoof-Resilient Optical Markers for Augmented Reality. IPSN (2020)
Bradley Potteiger, Jacob Mills, Daniel Cohen, Paul Velez
RUCKUS: a cybersecurity engine for performing autonomous cyber-physical system vulnerability discovery at scale. HotSoS (2020)
Yen-Chieh Lien, Daniel Cohen, W. Bruce Croft
An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists. ICTIR (2019)
Daniel Cohen, Scott M. Jordan, W. Bruce Croft
Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. ICTIR (2019)
Victor Danilchenko, Matthew Theobald, Daniel Cohen
Bootstrapping Security Configuration for IoT Devices on Networks with TLS Inspection. GLOBECOM Workshops (2019)
Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval. EMNLP/IJCNLP (1) (2019)
Daniel Cohen, Brendan O'Connor, W. Bruce Croft
Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. ICTIR (2018)
Daniel Cohen, Liu Yang, W. Bruce Croft
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. CoRR (2018)
Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR (2018)
Daniel Cohen, Liu Yang, W. Bruce Croft
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. SIGIR (2018)
Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft
Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. SIGIR (2018)
Daniel Cohen, Scott M. Jordan, W. Bruce Croft
Distributed Evaluations: Ending Neural Point Metrics. CoRR (2018)
Daniel Cohen, W. Bruce Croft
A Hybrid Embedding Approach to Noisy Answer Passage Retrieval. ECIR (2018)
Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR (2018)
Daniel Cohen, Qingyao Ai, W. Bruce Croft
Adaptability of Neural Networks on Varying Granularity IR Tasks. CoRR (2016)
Daniel Cohen, W. Bruce Croft
End to End Long Short Term Memory Networks for Non-Factoid Question Answering. ICTIR (2016)
Steven Ferrante, Tao Deng, Ravikumar Pragada, Daniel Cohen
mm Wave Initial Cell Search Analysis under UE Rotational Motion. ICUWB (2015)
Pramod Murali, Igor I. Izyumin, Daniel Cohen, Jun-Chau Chien, Ali M. Niknejad, Bernhard E. Boser
24.6 A CMOS micro-flow cytometer for magnetic label detection and classification. ISSCC (2014)
Qinquan Gao, Ping-Lin Chang, Daniel Rueckert, Syed Mohammed Ali, Daniel Cohen, Philip Pratt, Erik Mayer, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards
Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. Comput. Medical Imaging Graph. 37 (2) (2013)
Ping-Lin Chang, Dongbin Chen, Daniel Cohen, Philip J. Edwards
2D/3D Registration of a Preoperative Model with Endoscopic Video Using Colour-Consistency. AE-CAI (2011)
Dave Taylor, Vishal Patel, Daniel Cohen, Rajesh Aggarwal, K. Kerr, Nick Sevdalis, N. Batrick, Ara Darzi
Single and Multi-User Virtual Patient Design in the Virtual World. MMVR (2011)
Daniel Cohen, Erik Mayer, Dongbin Chen, Ann Anstee, Justin Vale, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards
Augmented Reality Image Guidance in Minimally Invasive Prostatectomy. Prostate Cancer Imaging (2010)
Daniel Cohen, Marta Blumenfeld, Ilya Chumakov, Nicholas J. Schork
Whole genome association studies in humans (abstract). RECOMB (1999)
Daniel Cohen, Arie E. Kaufman, Yingxing Wang
Generating a smooth voxel-based model from an irregular polygon mesh. Vis. Comput. 10 (6) (1994)
Daniel Cohen, Craig Gotsman
Photorealistic terrain imaging and flight simulation. IEEE Computer Graphics and Applications 14 (2) (1994)
Lisa M. Sobierajski, Daniel Cohen, Arie E. Kaufman, Roni Yagel, David E. Acker
A fast display method for volumetric data. Vis. Comput. 10 (2) (1993)
Daniel Cohen, Graem A. Ringwood
Distributed Databases Tied with StrIng. BNCOD (1993)
Arie E. Kaufman, Roni Yagel, Daniel Cohen
Modeling in Volume Graphics. Modeling in Computer Graphics (1993)
Roni Yagel, Daniel Cohen, Arie E. Kaufman
Discrete ray tracing. IEEE Computer Graphics and Applications 12 (5) (1992)
Roni Yagel, Daniel Cohen, Arie E. Kaufman
Normal estimation in 3D discrete space. Vis. Comput. 8 (5&6) (1992)
Daniel Cohen, Arie E. Kaufman, Reuven Bakalash, Samuel Bergman
Real time discrete shading. Vis. Comput. 6 (1) (1990)