|
Schumann |
Candice |
2020 |
Exploring Diversity and Fairness in Machine Learning |
|
|
Yang |
Sheng |
2020 |
ON SCHEDULING AND COMMUNICATION ISSUES IN DATA CENTERS |
Samir Khuller |
|
Lentz |
Matthew |
2020 |
Assurance and Control over Sensitive Data on Personal Devices |
Bobby Bhattacharjee |
|
Shafahi |
Ali |
2020 |
Adversarial Vulnerabilities of Deep Networks and Affordable Robustness |
Tom Goldstein |
|
Meng |
Xiaoxu |
2020 |
Enhancing Visual and Gestural Fidelity for Effective Virtual Environments |
Amitabh Varshney |
|
Schoute |
Eddie |
2021 |
Quantum routing for architecture-respecting circuit transformations |
Andrew Childs |
|
Schwarcz |
Steven Alexander |
2021 |
Deep Video Analytics of Humans: From Action Recognition to Forgery Detection |
Rama Chellappa |
|
Suciu |
Octavian |
2021 |
Data-Driven Techniques For Vulnerability Assessments |
Tudor Dumitras |
|
Zakeri |
Mohsen |
2021 |
OPTIMIZING THE ACCURACY OF LIGHTWEIGHT METHODS FOR SHORT READ ALIGNMENT AND QUANTIFICATION |
|
|
Patkar |
Sushant |
2021 |
Fantastic Sources Of Tumor Heterogeneity And How To Characterize Them |
Soheil Feizi |
|
Taha |
Ahmed |
2021 |
Closing the Gap Between Classification and Retrieval Models |
Larry Davis |
|
Fu |
Hong Hao |
2021 |
THE MEMBERSHIP PROBLEM FOR CONSTANT-SIZED QUANTUM CORRELATIONS IS UNDECIDABLE |
Andrew Childs |
|
Ahmadi |
Saba |
2021 |
Social Aspects of Algorithms: Fairness, Diversity, and Resilience to Strategic Behavior |
Samir Khuller |
|
Robinson |
Wells |
2021 |
Computational methods for the identification of mutation signatures and intracellular microbes in cancer |
|
|
Gong |
Huijing |
2021 |
Improved Robustness and Versatility of Lattice-Based Cryptography |
Dana Dachman-Soled |
|
Sun |
Xuetong |
2021 |
Towards Effective Displays for Virtual and Augmented Reality |
Amitabh Varshney |
|
Shah |
Nidhi |
2021 |
Data-driven algorithms for characterizing microbial communities |
Mihai Pop |
|
Feng |
Shi |
2021 |
Towards Human-AI Cooperation on Sequential Decision Making Problems |
Jordan Boyd-Graber |
|
Stevens |
Rock |
2021 |
Optimizing Proactive Measures for Security Operations |
Michelle Mazurek |
|
Hong |
Jonggi |
2021 |
Exploring Blind and Sighted Users’ Interactions With Error-Prone Speech and Image Recognition |
Hernisa Kacorri |
|
Saadatpanah |
Parsa |
2021 |
Adversarial Machine Learning in the Wild |
Tom Goldstein |
|
Sayed |
Mahmoud |
2021 |
Search Among Sensitive Content |
Doug Oard |
|
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 |
|
Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
Tom Goldstein |
|
Zhu |
Chen |
2022 |
Towards Reliable and Efficient Representation Learning |
Tom Goldstein |
|
Brantley |
Kiante |
2022 |
EXPERT-IN-THE-LOOP FOR SEQUENTIAL DECISIONS AND PREDICTIONS |
Hal Daumé III |
|
Curry |
Michael Jeremiah |
2022 |
Learning and Robustness With Applications To Mechanism Design |
Tom Goldstein |
|
Bhattacharya |
Uttaran |
2022 |
Affective Human Motion Detection and Synthesis |
Dinesh Manocha |
|
Chakrabarti |
Shouvanik |
2022 |
Quantum Computing for Optimization and Machine Learning |
Xiaodi Wu |
|
Flores Velazco |
Alejandro |
2022 |
Algorithms and Data Structures for Faster Nearest-Neighbor Classification |
David Mount |
|
Ghiasi |
Mohammad Amin |
2022 |
ROBUSTNESS AND UNDERSTANDABILITY OF DEEP MODELS |
Tom Goldstein |
|
Chandra |
Rohan |
2022 |
TOWARDS AUTONOMOUS DRIVING IN DENSE, HETEROGENEOUS, AND UNSTRUCTURED TRAFFIC |
Dinesh Manocha |
|
Goldberg |
Matthew David |
2022 |
Time-Situated Metacognitive Agency and Other Aspects of Commonsense Reasoning |
Don Perlis |
|
Lee |
Kyungjun |
2022 |
Egocentric Vision in Assistive Technologies For and By the Blind |
Hernisa Kacorri |
|
Davis |
Gregory Patrick |
2022 |
A NEUROCOMPUTATIONAL MODEL OF CAUSAL REASONING AND COMPOSITIONAL WORKING MEMORY FOR IMITATION LEARNING |
James Reggia |
|
Hietala |
Kesha |
2022 |
A Verified Software Toolchain for Quantum Programming |
Michael Hicks |
|
Singhal |
Swati |
2022 |
A FLEXIBLE APPROACH FOR ORCHESTRATING ADAPTIVE SCIENTIFIC WORKFLOWS FOR SCALABLE COMPUTING |
Alan Sussman |
|
Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
|
Ismail |
Aya Abdelsalam |
2022 |
Interpretable Deep Learning for Time Series |
Soheil Feizi |
|
Tsepenekas |
Leonidas |
2022 |
On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning |
Aravind Srinivasan |
|
Ehrlich |
Max Donohue |
2022 |
The First Principles of Deep Learning and Compression |
Larry Davis, Abhinav Shrivastava |
|
Javkar |
Kiran Gajanan |
2022 |
Algorithms for scalable and efficient population genomics and metagenomics |
Mihai Pop |
|
Zeng |
Zehua |
2022 |
A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms |
Leilani Battle |
|
Farhadi |
Alireza |
2022 |
Memory-Restricted and Secure Algorithms For Large Datasets |
Mohammad Hajiaghayi |
|
Li |
Hengduo |
2022 |
Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding |
Larry Davis |