Computer Science
Items (Sorted by Submit Date in Descending order): 1 to 20 of 200
Issue Date | Title | Author(s) |
2023 | User-Centered Algorithmic Mechanism Design: theoretical frameworks at different levels of central regulation | Essaidi, Meryem |
2023 | Human-machine Collaboration in Real-World Machine-Learning Applications | Roberts, Claudia Veronica |
2023 | Probabilistic models for structured biomedical data | Jones, Andrew |
2023 | A Serverless Architecture for Application-Level Orchestration | Liu, Hao |
2022 | Inferring Intra-tumor Heterogeneity from DNA Sequencing Data | Myers, Matthew Abrams |
2022 | Analysis of Self-Adjusting Heaps | Sinnamon, Corwin |
2022 | Towards Understanding Self-Supervised Representation Learning | Saunshi, Nikunj Umesh |
2022 | Bridging Theory and Practice in Deep Learning: Optimization and Generalization | Li, Zhiyuan |
2022 | Towards Geometric Intelligence: Seeing, Grounding and Reasoning over Geometries | Goyal, Ankit |
2022 | Learning to Detect Objects by Grouping | Law, Hei |
2022 | Probabilistic Models for Characterizing Animal Learning and Decision-Making | Ashwood, Zoe |
2022 | Neurosymbolic Machine Learning for Reasoning | Yang, Kaiyu |
2022 | Optimization Inspired Neural Networks for Multiview 3D Reconstruction | Teed, Zachary |
2022 | Self-Supervised Metric Learning for Alignment of Petascale Connectomics Datasets | Popovych, Sergiy |
2022 | The Research-Practice Gap in User Authentication | Lee, Kevin |
2022 | Towards Efficient and Effective Deep Model-based Reinforcement Learning | Luo, Yuping |
2022 | Precise Alignment of Serial Section Electron Microscopy Images and Analysis of Neural Circuits | Macrina, Thomas |
2022 | Studio-Quality Speech Enhancement | Su, Jiaqi |
2022 | Measuring the Feasibility of DNS Privacy and Security | Hounsel, Austin |
2022 | Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning | Simmons-Edler, Riley |
Items (Sorted by Submit Date in Descending order): 1 to 20 of 200