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Daniel Cohen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c33]Daniel Cohen
, Sarel Cohen
, Dalit Naor
, Daniel G. Waddington
, Moshik Hershcovitch
:
Dictionary Based Cache Line Compression. HotStorage 2024 - [i13]Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar:
In-Context Example Ordering Guided by Label Distributions. CoRR abs/2402.11447 (2024) - [i12]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 abs/2402.12276 (2024) - 2023
- [c32]Maria Heuss
, Daniel Cohen
, Masoud Mansoury
, Maarten de Rijke
, Carsten Eickhoff
:
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM 2023: 762-772 - [c31]Deepak Kumar
, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL 2023: 2730-2743 - [c30]Zhichao Xu
, Daniel Cohen
:
A Lightweight Constrained Generation Alternative for Query-focused Summarization. SIGIR 2023: 1745-1749 - [c29]Daniel Cohen
, Sarel Cohen
, Dalit Naor
, Daniel G. Waddington
, Moshik Hershcovitch
:
Cache Line Deltas Compression. SYSTOR 2023: 145 - [i11]Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz:
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR abs/2302.06321 (2023) - [i10]Zhichao Xu, Daniel Cohen:
A Lightweight Constrained Generation Alternative for Query-focused Summarization. CoRR abs/2304.11721 (2023) - [i9]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR abs/2309.09833 (2023) - 2022
- [j9]Daniel Cohen
, Amir Elalouf, Raz Zeev
:
Collaboration or separation maximizing the partnership between a "Gray hat" hacker and an organization in a two-stage cybersecurity game. Int. J. Inf. Manag. Data Insights 2(1): 100073 (2022) - [c28]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. EMNLP 2022: 10626-10644 - [c27]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: 93-96 - [c26]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. SIGIR 2022: 2532-2538 - [c25]Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff:
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. SIGIR 2022: 2572-2577 - 2021
- [j8]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): 443:1-443:36 (2021) - [c24]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: 185-195 - [c23]Daniel Cohen:
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. SIGIR 2021: 438-448 - [c22]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: 654-664 - [i8]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 abs/2105.04651 (2021) - [i7]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 abs/2106.13618 (2021) - [i6]George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. CoRR abs/2112.08766 (2021) - 2020
- [c21]Bradley Potteiger
, Jacob Mills, Daniel Cohen, Paul Velez:
RUCKUS: a cybersecurity engine for performing autonomous cyber-physical system vulnerability discovery at scale. HotSoS 2020: 4:1-4:10 - [c20]Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas:
Evaluating the Performance of Reinforcement Learning Algorithms. ICML 2020: 4962-4973 - [c19]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: 289-300 - [i5]Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas:
Evaluating the Performance of Reinforcement Learning Algorithms. CoRR abs/2006.16958 (2020)
2010 – 2019
- 2019
- [c18]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: 3495-3500 - [c17]Victor Danilchenko, Matthew Theobald, Daniel Cohen:
Bootstrapping Security Configuration for IoT Devices on Networks with TLS Inspection. GLOBECOM Workshops 2019: 1-7 - [c16]Daniel Cohen, Scott M. Jordan, W. Bruce Croft:
Learning a Better Negative Sampling Policy with Deep Neural Networks for Search. ICTIR 2019: 19-26 - [c15]Yen-Chieh Lien, Daniel Cohen, W. Bruce Croft:
An Assumption-Free Approach to the Dynamic Truncation of Ranked Lists. ICTIR 2019: 79-82 - 2018
- [c14]Daniel Cohen, W. Bruce Croft:
A Hybrid Embedding Approach to Noisy Answer Passage Retrieval. ECIR 2018: 127-140 - [c13]Daniel Cohen, Brendan O'Connor, W. Bruce Croft:
Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks. ICTIR 2018: 67-74 - [c12]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: 1017-1020 - [c11]Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. SIGIR 2018: 1025-1028 - [c10]Daniel Cohen, Liu Yang, W. Bruce Croft:
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. SIGIR 2018: 1165-1168 - [i4]Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models Using Adversarial Learning. CoRR abs/1805.03403 (2018) - [i3]Daniel Cohen, Liu Yang, W. Bruce Croft:
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. CoRR abs/1805.03797 (2018) - [i2]Daniel Cohen, Scott M. Jordan, W. Bruce Croft:
Distributed Evaluations: Ending Neural Point Metrics. CoRR abs/1806.03790 (2018) - 2016
- [c9]Daniel Cohen, W. Bruce Croft:
End to End Long Short Term Memory Networks for Non-Factoid Question Answering. ICTIR 2016: 143-146 - [i1]Daniel Cohen, Qingyao Ai, W. Bruce Croft:
Adaptability of Neural Networks on Varying Granularity IR Tasks. CoRR abs/1606.07565 (2016) - 2015
- [c8]Steven Ferrante, Tao Deng, Ravikumar Pragada, Daniel Cohen:
mm Wave Initial Cell Search Analysis under UE Rotational Motion. ICUWB 2015: 1-7 - 2014
- [c7]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: 422-423 - 2013
- [j7]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): 183-194 (2013) - 2011
- [c6]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: 1-12 - [c5]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: 650-652 - 2010
- [c4]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: 101-110
1990 – 1999
- 1999
- [c3]Daniel Cohen, Marta Blumenfeld, Ilya Chumakov, Nicholas J. Schork:
Whole genome association studies in humans (abstract). RECOMB 1999: 134 - 1994
- [j6]Daniel Cohen, Craig Gotsman
:
Photorealistic terrain imaging and flight simulation. IEEE Computer Graphics and Applications 14(2): 10-12 (1994) - [j5]Daniel Cohen, Arie E. Kaufman, Yingxing Wang:
Generating a smooth voxel-based model from an irregular polygon mesh. Vis. Comput. 10(6): 295-305 (1994) - [p1]Daniel Cohen:
Voxel Traversal along a 3D Line. Graphics Gems 1994: 366-369 - 1993
- [j4]Lisa M. Sobierajski, Daniel Cohen, Arie E. Kaufman, Roni Yagel, David E. Acker:
A fast display method for volumetric data. Vis. Comput. 10(2): 116-124 (1993) - [c2]Daniel Cohen, Graem A. Ringwood:
Distributed Databases Tied with StrIng. BNCOD 1993: 76-92 - [c1]Arie E. Kaufman, Roni Yagel, Daniel Cohen:
Modeling in Volume Graphics. Modeling in Computer Graphics 1993: 441-454 - 1992
- [j3]Roni Yagel, Daniel Cohen, Arie E. Kaufman:
Discrete ray tracing. IEEE Computer Graphics and Applications 12(5): 19-28 (1992) - [j2]Roni Yagel, Daniel Cohen, Arie E. Kaufman:
Normal estimation in 3D discrete space. Vis. Comput. 8(5&6): 278-291 (1992) - 1990
- [j1]Daniel Cohen, Arie E. Kaufman, Reuven Bakalash, Samuel Bergman:
Real time discrete shading. Vis. Comput. 6(1): 16-27 (1990)
1980 – 1989
- 1984
- [b1]Daniel Cohen:
ניתוח תחבירי מכני של משפט בעברית (A mechanical algorithm for finding the syntactic structure of a Hebrew sentence). Hebrew University of Jerusalem, Israel, 1984
Coauthor Index
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