network optimization

Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network AAAI 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets NeurIPS 2023 Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023 Dataset Distillation by Matching Training Trajectories CVPR 2022 Decentralized cloud wide-area network traffic engineering with BLASTSHIELD NSDI 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NeurIPS 2022 NetHint: White-Box Networking for Multi-Tenant Data Centers NSDI 2022 Reflash Dropout in Image Super-Resolution CVPR 2022 Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method IJCAI 2022 Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources NeurIPS 2022 Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector CVPR 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022 Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness AAAI 2021 Distributed Saddle-Point Problems Under Data Similarity NeurIPS 2021 Embedding Principle of Loss Landscape of Deep Neural Networks NeurIPS 2021 Going Deeper With Image Transformers ICCV 2021 Learning Interpretable Models for Coupled Networks Under Domain Constraints AAAI 2021 Linear Regression over Networks with Communication Guarantees L4DC 2021 Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NeurIPS 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021