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Found 9 papers, 1 papers with code
Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
In this context, accessible and effective risk assessment is indispensable.
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
In this review, we regroup domain shift and concept drift into a single research problem, namely the data change problem, with a systematic overview of state-of-the-art methods in the two research fields.
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
Next, we expand the versatility of the robot by unifying the policies with robust transitions into a single coherent meta-controller by examining the latent state representations.
FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients
We address this issue by generating secure data digests from the raw data and using them to guide model training at the FL moderator.
Transition Motion Tensor: A Data-Driven Approach for Versatile and Controllable Agents in Physically Simulated Environments
This paper proposes the Transition Motion Tensor, a data-driven framework that creates novel and physically accurate transitions outside of the motion dataset.
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
In this paper, we propose a framework called TrustMAE to address the problem of product defect classification.
GrateTile: Efficient Sparse Tensor Tiling for CNN Processing
We propose GrateTile, an efficient, hardwarefriendly data storage scheme for sparse CNN feature maps (activations).
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Motion synthesis in a dynamic environment has been a long-standing problem for character animation.
Unrolled Memory Inner-Products: An Abstract GPU Operator for Efficient Vision-Related Computations
Recently, convolutional neural networks (CNNs) have achieved great success in fields such as computer vision, natural language processing, and artificial intelligence.
