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TEE-based decentralized recommender systems: The raw data sharing redemption

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TEE-based decentralized recommender systems: The raw data sharing redemption

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Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Crowding reveals fundamental differences in local vs. global processing in humans and machines

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Memory Augmented Neural Model for Incremental Session-based Recommendation

Memory Augmented Neural Model for Incremental Session-based Recommendation

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Inverse Modelling and Predictive Inference in Continuum Mechanics: a Data-Driven Approach

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Memory Augmented Neural Model for Incremental Session-based Recommendation

Memory Augmented Neural Model for Incremental Session-based Recommendation

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Crowding reveals fundamental differences in local vs. global processing in humans and machines

HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset