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Algorithms for scalable and efficient population genomics and metagenomics |
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A Multi-Faceted Approach for Evaluating Visualization Recommendation Algorithms |
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Farhadi |
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Memory-Restricted and Secure Algorithms For Large Datasets |
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Effective Training and Efficient Inference of Deep Neural Networks for Visual Understanding |
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Object Detection and Instance Segmentation for Real-world Applications |
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Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis |
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Liao |
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The Evolution of Cloud Data Architectures: Storage, Compute, and Migration |
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Neural Rendering Techniques for Photo-realistic Image Generation and Novel View Synthesis |
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Peskov |
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Gathering Natural Language Processing Data Using Experts |
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ENRICHING COMMUNICATION BETWEEN HUMANS AND AI AGENTS |
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Learning and Composing Primitives for the Visual World |
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Maynord |
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2023 |
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Blum |
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RESILIENT AND EFFICIENT CONSENSUS UNDER UNKNOWN NETWORK CONDITIONS |
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Learning and Composing Primitives for the Visual World |
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On Algorithms, Fairness, and Incentives |
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Hu |
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Dense 3D Reconstructions from Sparse Visual Data |
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Data Structures and Protocols for Scalability and Security of Distributed Consensus |
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Software-Defined Software |
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Effective and Efficient Search Across Languages |
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The Limitations of Deep Learning Methods in Realistic Adversarial Settings |
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Supporting Independent Learning and Rapid Experimentation in Data Science |
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Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models |
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Guria |
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Program Synthesis with Lightweight Abstractions |
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Parallel Algorithms for Processing Massive Texts and Graphs |
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Program Synthesis with Lightweight Abstractions |
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Singla |
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Reliable Deep Learning: a Robustness Perspective |
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Rolinger |
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Compiler Optimizations for Irregular Memory Access Patterns in the PGAS Programming Model |
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Sun |
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Towards Robust and Adaptable Real-World Reinforcement Learning |
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Fulton |
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Understanding and Improving Secure Development from a Human-Centered Perspective |
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Multi-Agent Reinforcement Learning: Systems for Evaluation and Applications to Complex Systems |
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Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation |
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Learning-based Physics Simulation with Collision Handling |
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Joseph Dacosta Albert |
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Structural Scaffolding for Sensemaking in Document Collections |
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You |
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Optimization Problems in Quantum Machine Learning |
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Structural Scaffolding for Sensemaking in Document Collections |
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Applications of Graph Theory and Logic in Computer Science |
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An efficient neural representation for videos |
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Dooley |
Samuel William Atwell |
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Agrawal |
Sweta |
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COMPLEXITY CONTROLLED NATURAL LANGUAGE GENERATION |
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A Framework For Dexterous Manipulation Through Tactile Perception |
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Maddali |
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Design Considerations for Remote Expert Guidance Using Extended Reality in Skilled Hobby Settings |
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Levine |
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Scalable Methods for Robust Machine Learning |
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