|
Nguyen |
Khanh Xuan |
2022 |
ENRICHING COMMUNICATION BETWEEN HUMANS AND AI AGENTS |
Hal Daumé III |
|
Tang |
Zhenyu |
2022 |
Efficient Acoustic Simulation for Learning-based Virtual and Real-World Audio Processing |
Dinesh Manocha |
|
Suryan |
Varun |
2022 |
Efficient Environment Sensing and Learning for Mobile Robots |
Pratap Tokekar |
|
Yadav |
Abhay Kumar |
2022 |
IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION |
David Jacobs |
|
Sweet |
Ian Nicholas |
2022 |
Language-Based Techniques for Secure Programming |
Michael Hicks |
|
Zhao |
Chen |
2022 |
TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING |
Jordan Boyd-Graber, Hal Daumé III |
|
Yang |
Luyu |
2022 |
Practical Robust Learning Under Domain Shifts |
Larry Davis, Abhinav Shrivastava |
|
Zhao |
Chen |
2022 |
TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING |
Jordan Boyd-Graber, Hal Daumé III |
|
Yang |
Luyu |
2022 |
Practical Robust Learning Under Domain Shifts |
Larry Davis, Abhinav Shrivastava |
|
Bock |
Kevin |
2022 |
Automating the Discovery of Censorship Evasion Strategies |
Dave Levin |
|
Yuan |
Michelle |
2022 |
Transfer Learning in Natural Language Processing through Interactive Feedback |
Jordan Boyd-Graber |
|
Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
|
Li |
Jingling |
2023 |
Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models |
John Dickerson |
|
Jia |
Biao |
2023 |
Learning-Based Motion Planning For High-Dof Robot Systems |
Dinesh Manocha |
|
Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
|
Guria |
Sankha Narayan |
2023 |
Program Synthesis with Lightweight Abstractions |
Jeffrey Foster, David Van Horn |
|
Kaneko |
Shoken |
2023 |
Numerical Acoustics For Physical And Simulated Environments |
Ramani Duraiswami
Nail A Gumerov |
|
Saleh Mohammadabad |
Hamed |
2023 |
Parallel Algorithms for Processing Massive Texts and Graphs |
Mohammad Hajiaghayi |
|
Guria |
Sankha Narayan |
2023 |
Program Synthesis with Lightweight Abstractions |
Jeffrey Foster, David Van Horn |
|
Knittel |
Marina |
2023 |
Fair And Scalable Algorithms On Massive Graphs |
Mohammad Hajiaghayi, John Dickerson |
|
Singla |
Sahil |
2023 |
Reliable Deep Learning: a Robustness Perspective |
Soheil Feizi |
|
Rolinger |
Thomas Blaine |
2023 |
Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model |
Alan Sussman |
|
Knittel |
Marina |
2023 |
Fair And Scalable Algorithms On Massive Graphs |
Mohammad Hajiaghayi, John Dickerson |
|
Sun |
Yanchao |
2023 |
Towards Robust and Adaptable Real-World Reinforcement Learning |
Furong Huang |
|
Fulton |
Kelsey Rae |
2023 |
Understanding and Improving Secure Development from a Human-Centered Perspective |
Michelle Mazurek |
|
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 |
|
Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
|
Zhu |
Shaopeng |
2023 |
Applications of Graph Theory and Logic in Computer Science |
William Gasarch
Michael Laskowski |
|
Briakou |
Eleftheria |
2023 |
DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES |
Marine Carpuat |
|
Rowden |
Alexander |
2023 |
Immersive Visual Analytics Of Wi-Fi Signal Propagation And Network Health |
Amitabh Varshney |
|
Chen |
Hao |
2023 |
An efficient neural representation for videos |
Abhinav Shrivastava |
|
Dooley |
Samuel |
2023 |
Expanding Robustness In Responsible Ai For Novel Bias Mitigation |
John Dickerson |
|
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 |