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Hu |
Tao |
2023 |
Dense 3D Reconstructions from Sparse Visual Data |
Matthias Zwicker |
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Srinivasan |
Shravan |
2023 |
Data Structures and Protocols for Scalability and Security of Distributed Consensus |
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Akgul |
Omer |
2023 |
Characterizing And Improving Mental Models Of Secure Communication Tools |
Michelle Mazurek |
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Katz |
Moshe Matanya |
2023 |
Software-Defined Software |
Ashok Agrawala |
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Singh |
Chahat Deep |
2023 |
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Chiang |
Ping-Yeh |
2023 |
Reliability Of Machine Learning Models In The Real World |
Tom Goldstein |
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Nair |
Suraj Rajappan |
2023 |
Effective and Efficient Search Across Languages |
Doug Oard |
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Kaya |
Yigitcan |
2023 |
The Limitations of Deep Learning Methods in Realistic Adversarial Settings |
Tudor Dumitras |
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Fan |
Jason |
2023 |
Analyzing And Indexing Huge Reference Sequence Collections |
Rob Patro |
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Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
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Li |
Jingling |
2023 |
Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models |
John Dickerson |
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Jia |
Biao |
2023 |
Learning-Based Motion Planning For High-Dof Robot Systems |
Dinesh Manocha |
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Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
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Guria |
Sankha Narayan |
2023 |
Program Synthesis with Lightweight Abstractions |
Jeffrey Foster, David Van Horn |
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Kaneko |
Shoken |
2023 |
Numerical Acoustics For Physical And Simulated Environments |
Ramani Duraiswami
Nail A Gumerov |
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Saleh Mohammadabad |
Hamed |
2023 |
Parallel Algorithms for Processing Massive Texts and Graphs |
Mohammad Hajiaghayi |
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Guria |
Sankha Narayan |
2023 |
Program Synthesis with Lightweight Abstractions |
Jeffrey Foster, David Van Horn |
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Knittel |
Marina |
2023 |
Fair And Scalable Algorithms On Massive Graphs |
Mohammad Hajiaghayi, John Dickerson |
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Singla |
Sahil |
2023 |
Reliable Deep Learning: a Robustness Perspective |
Soheil Feizi |
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Rolinger |
Thomas Blaine |
2023 |
Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model |
Alan Sussman |
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Knittel |
Marina |
2023 |
Fair And Scalable Algorithms On Massive Graphs |
Mohammad Hajiaghayi, John Dickerson |
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Sun |
Yanchao |
2023 |
Towards Robust and Adaptable Real-World Reinforcement Learning |
Furong Huang |
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Fulton |
Kelsey Rae |
2023 |
Understanding and Improving Secure Development from a Human-Centered Perspective |
Michelle Mazurek |
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Kumar |
Aounon |
2023 |
Extending The Scope Of Provable Adversarial Robustness In Machine Learning |
Soheil Feizi, Tom Goldstein |
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Terry |
Jordan Kirby |
2023 |
Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems |
John Dickerson |
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Mittal |
Trisha |
2023 |
Towards Multimodal and Context-Aware Emotion Perception |
Dinesh Manocha |
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Kumar |
Aounon |
2023 |
Extending The Scope Of Provable Adversarial Robustness In Machine Learning |
Soheil Feizi, Tom Goldstein |
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Xu |
Weijia |
2023 |
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation |
Marine Carpuat |
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Tan |
Qingyang |
2023 |
Learning-based Physics Simulation with Collision Handling |
Dinesh Manocha |
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Mathur |
Puneet |
2023 |
Document Information Extraction, Structure Understanding And Manipulation |
Dinesh Manocha |
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Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
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You |
Xuchen |
2023 |
Optimization Problems in Quantum Machine Learning |
Xiaodi Wu |
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Goel |
Pranav |
2023 |
ANALYZING COMMUNICATIVE CHOICES TO UNDERSTAND THEIR MOTIVATIONS, CONTEXT-BASED VARIATION, AND SOCIAL CONSEQUENCES |
Philip Resnik |
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Rodrigues |
Nishant |
2023 |
Improved Algorithms And Primitives For Quantum Cryptography |
Andrew Childs
Brad Lackey |
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Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
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Zhu |
Shaopeng |
2023 |
Applications of Graph Theory and Logic in Computer Science |
William Gasarch
Michael Laskowski |
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Briakou |
Eleftheria |
2023 |
DETECTING FINE-GRAINED SEMANTIC DIVERGENCES TO IMPROVE TRANSLATION UNDERSTANDING ACROSS LANGUAGES |
Marine Carpuat |
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Rowden |
Alexander |
2023 |
Immersive Visual Analytics Of Wi-Fi Signal Propagation And Network Health |
Amitabh Varshney |
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Chen |
Hao |
2023 |
An efficient neural representation for videos |
Abhinav Shrivastava |
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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 |
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Shen |
Yu |
2023 |
Learning-Based Autonomous Driving With Enhanced Data Efficiency And Policy Training |
Ming Lin |
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Ganguly |
Kanishka |
2023 |
A Framework For Dexterous Manipulation Through Tactile Perception |
John Aloimonos |
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Maddali |
Hanuma Teja |
2023 |
Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings |
Amanda Lazar |
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Levine |
Alexander Jacob |
2023 |
Scalable Methods for Robust Machine Learning |
Soheil Feizi |
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Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
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Blum |
Erica |
2023 |
RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS |
Jonathan Katz |
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Yadav |
Abhay Kumar |
2022 |
IMPROVED TRAINING OF DEEP NETWORKS FOR COMPUTER VISION |
David Jacobs |
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Sweet |
Ian Nicholas |
2022 |
Language-Based Techniques for Secure Programming |
Michael Hicks |
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Zhao |
Chen |
2022 |
TOWARDS PRACTICAL COMPLEX QUESTION ANSWERING |
Jordan Boyd-Graber, Hal Daumé III |