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Daniel Cohen
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2020 – today
- 2024
- [c34]Daniel Cohen
, Sarel Cohen
Dictionary Based Cache Line Compression. HotStorage 2024 - [c33]Zhichao Xu, Daniel Cohen, Bei Wang, Vivek Srikumar:
In-Context Example Ordering Guided by Label Distributions. NAACL-HLT (Findings) 2024: 2623-2640 - [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
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM 2023: 762-772 - [c31]Deepak Kumar
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL 2023: 2730-2743 - [c30]Zhichao Xu
A Lightweight Constrained Generation Alternative for Query-focused Summarization. SIGIR 2023: 1745-1749 - [c29]Daniel Cohen
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
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
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
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
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
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
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
Single and Multi-User Virtual Patient Design in the Virtual World. MMVR 2011: 650-652 - 2010
- [c4]Daniel Cohen, Erik Mayer
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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last updated on 2024-09-13 01:41 CEST by the dblp team
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