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Author search results
Exact matches
- Matt Gardner 0001
aka: Matthew Gardner 0001
Microsoft Semantic Machines - Matt Gardner 0003
aka: Matthew Gardner 0003
Boston Dynamics, Waltham, MA, USA
Likely matches
- Matthew C. Gardner
Texas A&M University, College Station, TX, USA - R. Matthew Gardner
Dominion Virginia Power, Richmond, VA, USA - Matthew Gardner 0002
Clemson University, Department of Mathematical Sciences, SC, USA
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Publication search results
found 223 matches
- 2024
- Tiago Stegun Vaquero, Guglielmo Daddi, Rohan Thakker, Michael Paton, A. Jasour, Marlin P. Strub, R. Michael Swan, Rob Royce, Matthew Gildner, L. Phillipe Tosi, Marcel Veismann, Peter V. Gavrilov, Eloise Marteau, Joseph Bowkett, Daniel Loret de Mola Lemus, Yashwanth Kumar Nakka, Benjamin Hockman, Andrew L. Orekhov, Tristan Hasseler, Carl Leake, Benjamin Nuernberger, Pedro Proença, William Reid, William Talbot, Nikola Georgiev, Torkom Pailevanian, Avak Archanian, Eric Ambrose, Jay Jasper, Rachel Etheredge, Christiahn Roman, Dan Levine, Kyohei Otsu, Sarah Yearicks, Hovhannes Melikyan, Richard Rieber, Kalind C. Carpenter, Jeremy Nash, Abhinandan Jain, Lori Shiraishi, Matthew Robinson, Matthew J. Travers, Howie Choset, Joel W. Burdick, Alex Gardner, M. Cable, Michel D. Ingham, Masahiro Ono:
EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration. Sci. Robotics 9(88) (2024) - 2023
- Fateme Zare, Farid Tootoonchian, Ahmad Daniar, Matthew C. Gardner, Bilal Akin:
Magnetic Equivalent Circuit Model for Performance Prediction of Two-DOF Planar Resolver. IEEE Access 11: 102207-102216 (2023) - Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. 55(10): 197:1-197:45 (2023) - Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) 2023: 13924-13950 - Linda Cai, Joshua Gardner, S. Matthew Weinberg:
Optimal Stopping with Multi-dimensional Comparative Loss Aversion. WINE 2023: 95-112 - Shivanshu Gupta, Matt Gardner, Sameer Singh:
Coverage-based Example Selection for In-Context Learning. CoRR abs/2305.14907 (2023) - Linda Cai, Joshua Gardner, S. Matthew Weinberg:
Optimal Stopping with Multi-Dimensional Comparative Loss Aversion. CoRR abs/2309.14555 (2023) - 2022
- Clarissa Gardner, Jack Halligan, Gianluca Fontana, Roberto Fernandez Crespo, Matthew Prime, Chaohui Guo, Okan Ekinci, Saira Ghafur, Ara Darzi:
Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research. Health Informatics J. 28(2): 146045822210878 (2022) - Matt Gardner, Yan-Bin Jia:
Pose and Motion Estimation of Free-Flying Objects: Aerodynamics, Constrained Filtering, and Graph-Based Feature Tracking. IEEE Trans. Robotics 38(5): 3187-3202 (2022) - Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner:
A Meta-framework for Spatiotemporal Quantity Extraction from Text. ACL (1) 2022: 2736-2749 - Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) 2022: 3194-3213 - Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) 2022: 5198-5215 - Orion Weller, Kevin D. Seppi, Matt Gardner:
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. ACL (2) 2022: 272-282 - Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi:
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) 2022: 2660-2676 - Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. EMNLP 2022: 1251-1265 - Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) 2022: 4966-4979 - Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. EMNLP 2022: 8729-8755 - Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) 2022: 840-854 - Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) 2022: 389-395 - Chetan Mishra, Duotong Yang, Chen Wang, Xin Xu, Kevin D. Jones, R. Matthew Gardner, Luigi Vanfretti:
Analysis of STATCOM Oscillations using Ambient Synchrophasor Data in Dominion Energy. ISGT 2022: 1-5 - Akari Asai, Matt Gardner, Hannaneh Hajishirzi:
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. NAACL-HLT 2022: 2226-2243 - Natalie Maus, Haydn Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner:
Local Latent Space Bayesian Optimization over Structured Inputs. NeurIPS 2022 - Septian Razi, Henry Gardner, Andrew Sorensen, Matt Adcock:
A Live-Coded Add-On System for Video Conferencing in Virtual Reality. VR Workshops 2022: 692-693 - Yichen Wang, Henry Gardner, Charles P. Martin, Matt Adcock:
Augmenting Sculpture with Immersive Sonification. VR Workshops 2022: 626-627 - Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner:
Local Latent Space Bayesian Optimization over Structured Inputs. CoRR abs/2201.11872 (2022) - Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh:
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR abs/2202.07206 (2022) - Shivanshu Gupta, Sameer Singh, Matt Gardner:
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR abs/2203.08445 (2022) - Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi:
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR abs/2203.12942 (2022) - Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach:
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR abs/2204.05991 (2022) - Orion Weller, Kevin D. Seppi, Matt Gardner:
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR abs/2205.08124 (2022)
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