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Dooley |
Samuel |
2023 |
Expanding Robustness In Responsible Ai For Novel Bias Mitigation |
John Dickerson |
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Agrawal |
Sweta |
2023 |
COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION |
Marine Carpuat |
|
Shen |
Yu |
2023 |
Learning-Based Autonomous Driving With Enhanced Data Efficiency And Policy Training |
Ming Lin |
|
Ganguly |
Kanishka |
2023 |
A Framework For Dexterous Manipulation Through Tactile Perception |
John Aloimonos |
|
Maddali |
Hanuma Teja |
2023 |
Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings |
Amanda Lazar |
|
Levine |
Alexander Jacob |
2023 |
Scalable Methods for Robust Machine Learning |
Soheil Feizi |
|
Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
|
Blum |
Erica |
2023 |
RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS |
Jonathan Katz |
|
Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
|
Esmaeili |
Seyed Abdulaziz |
2023 |
On Algorithms, Fairness, and Incentives |
John Dickerson |
|
Feng |
Yushan |
2023 |
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Amitabh Varshney |
|
Warford |
Noel |
2024 |
Real-World Security For At-Risk Users |
Michelle Mazurek |
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Song |
Chujun |
2024 |
Enhancing Modern Query Federation Systems: Execution Optimization, Performance Prediction, And Systems Assessment |
Daniel Abadi |
|
Herlihy |
Christine |
2024 |
Algorithmic Decision-Making And Model Evaluation In Socially Consequential Domains |
John Dickerson |
|
Mishra |
Shlok |
2024 |
Self Supervised Learning On Large Scale Datasets |
David Jacobs |
|
Shrestha |
Snehesh |
2024 |
Ai Empowered Music Education |
John Aloimonos
Cornelia Fermüller |
|
Nguyen |
Ethan |
2024 |
High Performance Distributed Transactions For Multi-Region Database Systems |
Daniel Abadi |
|
Kazemi Tabaie Zavare |
Seyed |
2024 |
Interpretability Of Deep Models Across Different Architectures And Modalities |
Tom Goldstein |
|
Shin |
Sungbok |
2024 |
Simulation, Representation, And Automation: Human-Centered Artificial Intelligence For Augmenting Visualization Design |
Niklas Elmqvist |
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Shrivastava |
Gaurav |
2024 |
Diverse Video Generation |
Abhinav Shrivastava |
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Ni |
Renkun |
2024 |
Improving Model And Data Efficiency For Deep Learning |
Tom Goldstein |
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Sharma |
Vishnu |
2024 |
Enhanced Robot Planning And Perception Through Environment Prediction |
Pratap Tokekar |
|
Kaplitz |
Emily |
2024 |
Implementing Universal Design To Support Neurodivergent Students In Undergraduate Introductory Computer Science Classes |
David Weintrop |
|
Nanda |
Vedant |
2024 |
Foundations Of Trustworthy Deep Learning: Fairness, Robustness, And Explainability |
John Dickerson
Krishna Gummadi |
|
Saini |
Nirat |
2024 |
Object-Attribute Compositionality For Visual Understanding |
Abhinav Shrivastava |
|
Hoyle |
Alexander |
2024 |
Developing And Measuring Latent Constructs In Text |
Philip Resnik |
|
Tu |
Peihan |
2024 |
Repetitive Patterns In Digital Images: Raster Analysis And Vector Synthesis |
Matthias Zwicker |
|
Rosenberg |
Michael |
2024 |
Zero-Knowledge Proofs For Programmable Anonymity, Moderation, And Reputation |
Ian Miers, Jonathan Katz |
|
Evanusa |
Matthew |
2024 |
Dynamical Memory In Deep Neural Networks - |
John Aloimonos |
|
Peng |
Yuxiang |
2024 |
Theoretical And Practical High-Assurance Software Tools For Quantum Applications |
Xiaodi Wu |
|
Rosenberg |
Michael |
2024 |
Zero-Knowledge Proofs For Programmable Anonymity, Moderation, And Reputation |
Ian Miers, Jonathan Katz |
|
Girish |
Sharath |
2024 |
Everything Efficient All At Once - Compressing Data And Deep Networks |
Abhinav Shrivastava |
|
Chen |
Ray |
2024 |
Advancing The State Of Auto-Tuning With Programming Languages |
Jeffrey K. Hollingsworth |
|
Qiao |
Yiling |
2024 |
Machine Learning With Differentiable Physics Priors |
Ming Lin |
|
Katz |
Yehuda |
2024 |
Analytics Of Configuration Management For System Administration |
Ashok Agrawala |
|
Chen |
Shuhong |
2024 |
Ml For Anime: Illustration, Animation, And 3D Characters |
Matthias Zwicker |
|
Muralidharan |
Harihara |
2024 |
Data-Driven Algorithms For Characterizing Structural Variation In Metagenomic Data |
Mihai Pop |
|
Kalibhat |
Neha |
2024 |
Interpreting Visual Representations And Mitigating Their Failures |
Soheil Feizi |
|
Li |
David |
2024 |
Towards Immersive Streaming For Videos And Light Fields |
Amitabh Varshney |
|
Luan |
Tu |
2024 |
Improving And Validating Computational Algorithms For The Assembly, Clustering, And Taxonomic Classification Of Microbial Communities |
Mihai Pop |
|
Williams |
Niall |
2024 |
Computational Methods For Natural Walking In Virtual Reality |
Dinesh Manocha |
|
He |
Bo |
2024 |
Towards Effective Temporal Modeling For Video Understanding |
Abhinav Shrivastava |
|
Lichy |
Daniel |
2024 |
Advanced Techniques For Reconstructing Objects And Scenes From Variations In Lighting And Viewpoint |
David Jacobs |
|
Li |
Ruoxi |
2024 |
Automating Hierarchical Task Network Learning |
Dana Nau
Mark Roberts |
|
Shu |
Manli |
2024 |
Towards Trustworthy Machine Learning Systems |
Tom Goldstein |
|
Johnson |
Richard |
2024 |
Hybrid-Pgas Memory Hierarchy For Next Generation Hpc Systems |
Jeffrey K. Hollingsworth |
|
Rabbani |
Tahseen |
2024 |
Efficient Models And Learning Strategies For Resource-Constrained Systems |
Furong Huang |
|
Jabbireddy |
Susmija |
2024 |
Efficient Rendering, Display, And Compression Techniques For Virtual And Augmented Reality |
Amitabh Varshney |
|
Pham |
Khoi |
2024 |
Recognizing Object-Centric Attributes And Relations |
Abhinav Shrivastava |
|
Kong |
Kezhi |
2024 |
Towards Generalized And Scalable Machine Learning On Structured Data |
Tom Goldstein |