Joshua Robinson

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 27

Top Topics

Ground Truth Labels

Probabilistic Retrieval Models

Visual Representations

Top Venues

Publications

Ting-Rui Chiang, Xinyan Velocity Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama
On Retrieval Augmentation and the Limitations of Language Model Training. CoRR (2023)
Joshua Robinson, David Wingate
Leveraging Large Language Models for Multiple Choice Question Answering. ICLR (2023)
Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi, Joshua Robinson, Cynthia K. Rigsby, Bradly D. Allen, Michael Markl
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI. CoRR (2023)
Joshua Robinson, Christopher Michael Rytting, David Wingate
Leveraging Large Language Models for Multiple Choice Question Answering. CoRR (2022)
Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. NeurIPS (2022)
Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. CoRR (2022)
Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR (2022)
Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. ACL (1) (2022)
Bastian Rieck, Razvan Pascanu, Yuanqi Du, Hannes Stärk, Derek Lim, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Gabriele Corso, Leonardo Cotta, Yanqiao Zhu, Kexin Huang, Michelle M. Li, Sofia Bourhim, Ilia Igashov
The First Learning on Graphs Conference: Preface. LoG (2022)
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
Sign and Basis Invariant Networks for Spectral Graph Representation Learning. CoRR (2022)
Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. CoRR (2022)
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
Can contrastive learning avoid shortcut solutions? NeurIPS (2021)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. CoRR (2021)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. MICCAI (7) (2021)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations. MIDL (2021)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations. NeuroImage 241 (2021)
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
Can contrastive learning avoid shortcut solutions? CoRR (2021)
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
Strength from Weakness: Fast Learning Using Weak Supervision. CoRR (2020)
Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
Debiased Contrastive Learning. NeurIPS (2020)
Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
Debiased Contrastive Learning. CoRR (2020)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. CoRR (2020)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. MICCAI (7) (2020)
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
Strength from Weakness: Fast Learning Using Weak Supervision. ICML (2020)
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
Contrastive Learning with Hard Negative Samples. CoRR (2020)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations. CoRR (2020)
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
Flexible Modeling of Diversity with Strongly Log-Concave Distributions. NeurIPS (2019)
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
Flexible Modeling of Diversity with Strongly Log-Concave Distributions. CoRR (2019)
Gyan Ranjan, Zhi-Li Zhang, Supranamaya Ranjan, Ram Keralapura, Joshua Robinson
Un-zipping cellular infrastructure locations via user geo-intent. INFOCOM (2011)
Joshua Robinson, Mohit Singh, Ram Swaminathan, Edward W. Knightly
Deploying Mesh Nodes under Non-Uniform Propagation. INFOCOM (2010)
Joshua Robinson, Mustafa Uysal, Ram Swaminathan, Edward W. Knightly
Adding Capacity Points to a Wireless Mesh Network Using Local Search. INFOCOM (2008)
Joshua Robinson, Edward W. Knightly
A Performance Study of Deployment Factors in Wireless Mesh Networks. INFOCOM (2007)
Joseph Camp, Joshua Robinson, Christopher Steger, Edward W. Knightly
Measurement driven deployment of a two-tier urban mesh access network. MobiSys (2006)