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Exploiting Shared Representations for Personalized Federated Learning

Exploiting Shared Representations for Personalized Federated Learning It seems as though every few months there is a new “intelligent” device on the market that...

Research Project Details

Research Projects

  • Learning to Set Waypoints for Audio-Visual Navigation

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  • An Exploration of Embodied Visual Exploration

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  • Faster Policy Learning with Continuous-Time Gradients

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  • MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation

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  • Superquantile-Based Learning: From Centralized to Federated Learning

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  • End-to-End Statistical Learning, with or without Labels

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  • Learning Winning Subnetworks Provably via Greedy Forward Optimization

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  • From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

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  • Patch-VQ: 'Patching Up' the Video Quality Problem

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  • Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

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  • Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

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  • Kernel-based Translations of Convolutional Networks

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