|
Kumar |
Aounon |
2023 |
Extending The Scope Of Provable Adversarial Robustness In Machine Learning |
Soheil Feizi, Tom Goldstein |
|
Terry |
Jordan Kirby |
2023 |
Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems |
John Dickerson |
|
Mittal |
Trisha |
2023 |
Towards Multimodal and Context-Aware Emotion Perception |
Dinesh Manocha |
|
Kumar |
Aounon |
2023 |
Extending The Scope Of Provable Adversarial Robustness In Machine Learning |
Soheil Feizi, Tom Goldstein |
|
Xu |
Weijia |
2023 |
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation |
Marine Carpuat |
|
Tan |
Qingyang |
2023 |
Learning-based Physics Simulation with Collision Handling |
Dinesh Manocha |
|
Mathur |
Puneet |
2023 |
Document Information Extraction, Structure Understanding And Manipulation |
Dinesh Manocha |
|
Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
|
You |
Xuchen |
2023 |
Optimization Problems in Quantum Machine Learning |
Xiaodi Wu |
|
Goel |
Pranav |
2023 |
ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES |
Philip Resnik |
|
Rodrigues |
Nishant |
2023 |
Improved Algorithms And Primitives For Quantum Cryptography |
Andrew Childs
Brad Lackey |
|
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 |
|
Hu |
Zhengmian |
2024 |
Understanding And Enhancing Machine Learning Models With Theoretical Foundations |
Heng Huang |
|
Maynord |
Michael |
2024 |
Feedback For Vision |
John Aloimonos
Cornelia Fermüller |
|
Hsiao |
Vincent |
2024 |
An Approximation Framework For Large-Scale Spatial Games |
Dana Nau |
|
Xian |
Wenhan |
2024 |
Efficient Optimization Algorithms For Nonconvex Machine Learning Problems |
Heng Huang |
|
Dhami |
Harnaik |
2024 |
Planning And Perception For Unmanned Aerial Vehicles In Object And Environmental Monitoring |
Pratap Tokekar |
|
Cao |
Yang |
2024 |
Towards Effective And Inclusive Ai: Aligning Ai Systems With User Needs And Stakeholder Values Across Diverse Contexts |
Hal Daumé III |
|
Suri |
Saksham |
2024 |
Supervision And Data Dynamics In Vision Across Recognition And Generation Landscapes |
Abhinav Shrivastava |
|
Glaeser |
Noemi |
2024 |
Practical Cryptography For Blockchains: Secure Protocols With Minimal Trust |
Jonathan Katz
Giulio Malavolta |
|
Warford |
Noel |
2024 |
Real-World Security For At-Risk Users |
Michelle Mazurek |
|
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 |
|
Shrivastava |
Gaurav |
2024 |
Diverse Video Generation |
Abhinav Shrivastava |
|
Ni |
Renkun |
2024 |
Improving Model And Data Efficiency For Deep Learning |
Tom Goldstein |
|
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 |