Daniel Campos

According to our database, Daniel Campos authored at least 35 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Overview of the TREC 2023 Product Product Search Track.

Daniel Campos, Surya Kallumadi, Corby Rosset, ChengXiang Zhai, Alessandro Magnani

CoRR, 2023

Noise-Robust Dense Retrieval via Contrastive Alignment Post Training.

Daniel Campos, ChengXiang Zhai, Alessandro Magnani

CoRR, 2023

Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders.

Daniel Campos, Alessandro Magnani, ChengXiang Zhai

CoRR, 2023

Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval.

Daniel Campos, ChengXiang Zhai

CoRR, 2023

To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency.

Daniel Campos, Chengxiang Zhai

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders.

Daniel Campos, Alessandro Magnani, Chengxiang Zhai

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes.

Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Towards Examining The Security Cost of Inexpensive Smart Home IoT Devices.

T. J. OConnor, Dylan Jessee, Daniel Campos

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Compressing Cross-Lingual Multi-Task Models at Qualtrics.

Daniel Campos, Daniel J. Perry, Samir Joshi, Yashmeet Gambhir, Wei Du, Zhengzheng Xing, Aaron Colak

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Informational Entropy Threshold as a Physical Mechanism for Explaining Tree-like Decision Making in Humans.

Javier Cristín, Vicenç Méndez, Daniel Campos

Entropy, December, 2022

Sparse*BERT: Sparse Models are Robust.

Daniel Campos, Alexandre Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai

CoRR, 2022

Overview of the TREC 2022 Deep Learning Track.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards.

Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.

Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System.

Daniel Campos, Heng Ji

CoRR, 2021

Curriculum learning for language modeling.

Daniel Campos

CoRR, 2021

Through the Spyglass: Towards IoT Companion App Man-in-the-Middle Attacks.

T. J. OConnor, Dylan Jessee, Daniel Campos

Proceedings of the CSET '21: Cyber Security Experimentation and Test Workshop, 2021

Towards Labeling On-Demand IoT Traffic.

Daniel Campos, T. J. OConnor

Proceedings of the CSET '21: Cyber Security Experimentation and Test Workshop, 2021

Overview of the TREC 2021 Deep Learning Track.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard.

Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MS MARCO: Benchmarking Ranking Models in the Large-Data Regime.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search.

Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck

CoRR, 2020

Overview of the TREC 2019 deep learning track.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees

CoRR, 2020

Leading Conversational Search by Suggesting Useful Questions.

Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Overview of the TREC 2020 Deep Learning Track.

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

On the Reliability of Test Collections for Evaluating Systems of Different Types.

Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation.

Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search.

Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Experiments in Inferring Social Networks of Diffusion.

Daniel Campos, Zoe Konrad

CoRR, 2019

Open Domain Web Keyphrase Extraction Beyond Language Modeling.

Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2016

Systems of Interaction between the First Sedentary Villages in the Near East Exposed Using Agent-Based Modelling of Obsidian Exchange.

David Ortega, Juan-José Ibáñez, Daniel Campos, Lamya Khalidi, Vicenç Méndez, Luís Teira

Syst., 2016

Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers.

John Atkinson, Daniel Campos

Expert Syst. Appl., 2016

2006

Satellite-Indoor Mobile Communications Path Propagation Losses.

Daniel Campos, Luis Gerardo Guerrero-Ojeda, Vicente Alarcón Aquino, David Báez-López

Proceedings of the 16th International Conference on Electronics, Communications, and Computers (CONIELECOMP 2006), 27 February 2005, 2006

1998

Constraints in Generalization Structures in Conceptual Database Schemes.

Marcela Varas, A. Ricardo Contreras, Daniel Campos

Proceedings of 18th International Conference of the Chilean Computer Science Society (SCCC '98), 1998