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Agrawal |
Sweta |
2023 |
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Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
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Barrow |
Joseph Dacosta Albert |
2023 |
Structural Scaffolding for Sensemaking in Document Collections |
Philip Resnik, Doug Oard |
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Blum |
Erica |
2023 |
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Briakou |
Eleftheria |
2023 |
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Chen |
Hao |
2023 |
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Dooley |
Samuel William Atwell |
2023 |
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Esmaeili |
Seyed Abdulaziz |
2023 |
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Feng |
Yushan |
2023 |
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Fulton |
Kelsey Rae |
2023 |
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Ganguly |
Kanishka |
2023 |
A Framework For Dexterous Manipulation Through Tactile Perception |
John Aloimonos |
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Goel |
Pranav |
2023 |
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Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
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Gupta |
Kamal |
2023 |
Learning and Composing Primitives for the Visual World |
Larry Davis, Abhinav Shrivastava |
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Guria |
Sankha Narayan |
2023 |
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Hu |
Tao |
2023 |
Dense 3D Reconstructions from Sparse Visual Data |
Matthias Zwicker |
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Katz |
Moshe Matanya |
2023 |
Software-Defined Software |
Ashok Agrawala |
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Kaya |
Yigitcan |
2023 |
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Levine |
Alexander Jacob |
2023 |
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Li |
Jingling |
2023 |
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Maddali |
Hanuma Teja |
2023 |
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Maynord |
Michael |
2023 |
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Mittal |
Trisha |
2023 |
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Nair |
Suraj Rajappan |
2023 |
Effective and Efficient Search Across Languages |
Doug Oard |
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Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
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Raghunandan |
Deepthi |
2023 |
Supporting Independent Learning and Rapid Experimentation in Data Science |
Niklas Elmqvist, Leilani Battle |
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Rolinger |
Thomas Blaine |
2023 |
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Saleh Mohammadabad |
Hamed |
2023 |
Parallel Algorithms for Processing Massive Texts and Graphs |
Mohammad Hajiaghayi |
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Singh |
Chahat Deep |
2023 |
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Singla |
Sahil |
2023 |
Reliable Deep Learning: a Robustness Perspective |
Soheil Feizi |
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Srinivasan |
Shravan |
2023 |
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Sun |
Yanchao |
2023 |
Towards Robust and Adaptable Real-World Reinforcement Learning |
Furong Huang |
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Tan |
Qingyang |
2023 |
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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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Xu |
Weijia |
2023 |
Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation |
Marine Carpuat |
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You |
Xuchen |
2023 |
Optimization Problems in Quantum Machine Learning |
Xiaodi Wu |
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Zhu |
Shaopeng |
2023 |
Applications of Graph Theory and Logic in Computer Science |
William GasarchWilliam Laskowski |
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Bhattacharya |
Uttaran |
2022 |
Affective Human Motion Detection and Synthesis |
Dinesh Manocha |
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Bock |
Kevin |
2022 |
Automating the Discovery of Censorship Evasion Strategies |
Dave Levin |
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Brantley |
Kiante |
2022 |
EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS |
Hal Daumé III |
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Chakrabarti |
Shouvanik |
2022 |
Quantum Computing for Optimization and Machine Learning |
Xiaodi Wu |
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Chandra |
Rohan |
2022 |
TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC |
Dinesh Manocha |
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Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
John Dickerson, Tom Goldstein |
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Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
John Dickerson, Tom Goldstein |
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Davis |
Gregory Patrick |
2022 |
A NEUROCOMPUTATIONAL MODEL OF CAUSAL REASONING AND COMPOSITIONAL WORKING MEMORY FOR IMITATION LEARNING |
James Reggia |
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Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
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Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
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Farhadi |
Alireza |
2022 |
Memory-Restricted and Secure Algorithms For Large Datasets |
Mohammad Hajiaghayi |
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Flores Velazco |
Alejandro |
2022 |
Algorithms and Data Structures for Faster Nearest-Neighbor Classification |
David Mount |
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Ghiasi |
Mohammad Amin |
2022 |
ROBUSTNESS AND UNDERSTANDABILITY OF DEEP MODELS |
Tom Goldstein |