| Do We Need Anisotropic Graph Neural Networks? | 0 | 0.34 | 2022 |
| Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design | 0 | 0.34 | 2022 |
| FRuDA: Framework for Distributed Adversarial Domain Adaptation | 0 | 0.34 | 2022 |
| Adaptable mobile vision systems through multi-exit neural networks | 0 | 0.34 | 2022 |
| ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity | 0 | 0.34 | 2022 |
| Deep learning on microcontrollers: a study on deployment costs and challenges | 0 | 0.34 | 2022 |
| Conditioning Sequence-to-sequence Networks with Learned Activations | 0 | 0.34 | 2022 |
| NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition | 0 | 0.34 | 2021 |
| Smart at what cost?: characterising mobile deep neural networks in the wild | 0 | 0.34 | 2021 |
| Zero-Cost Proxies for Lightweight NAS | 0 | 0.34 | 2021 |
| Temporal Kernel Consistency for Blind Video Super-Resolution | 0 | 0.34 | 2021 |
| It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation | 2 | 0.40 | 2021 |
| Secure aggregation for federated learning in flower | 0 | 0.34 | 2021 |
| Degree-Quant: Quantization-Aware Training for Graph Neural Networks | 0 | 0.34 | 2021 |
| Chronic Pain Protective Behavior Detection with Deep Learning | 0 | 0.34 | 2021 |
| HAPI: Hardware-Aware Progressive Inference | 1 | 0.37 | 2020 |
| BRP-NAS - Prediction-based NAS using GCNs. | 0 | 0.34 | 2020 |
| Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. | 0 | 0.34 | 2020 |
| IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition | 4 | 0.38 | 2020 |
| SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud | 7 | 0.46 | 2020 |
| Are Accelerometers for Activity Recognition a Dead-end? | 0 | 0.34 | 2020 |
| FusionRNN - Shared Neural Parameters for Multi-Channel Distant Speech Recognition. | 0 | 0.34 | 2020 |
| Codesign-NAS - Automatic FPGA/CNN Codesign Using Neural Architecture Search. | 0 | 0.34 | 2020 |
| Iterative Compression of End-to-End ASR Model using AutoML | 0 | 0.34 | 2020 |
| Best Of Both Worlds: Automl Codesign Of A Cnn And Its Hardware Accelerator | 0 | 0.34 | 2020 |
| The Final Frontier: Deep Learning in Space | 1 | 0.35 | 2020 |
| A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics | 8 | 0.43 | 2020 |
| Quaternion Neural Networks for Multi-channel Distant Speech Recognition | 1 | 0.41 | 2020 |
| Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices | 0 | 0.34 | 2020 |
| Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. | 0 | 0.34 | 2019 |
| Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems | 1 | 0.39 | 2019 |
| Learning Temporal and Bodily Attention in Protective Movement Behavior Detection | 0 | 0.34 | 2019 |
| EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. | 8 | 0.61 | 2019 |
| Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data | 4 | 0.43 | 2019 |
| An Empirical study of Binary Neural Networks' Optimisation | 2 | 0.36 | 2019 |
| Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. | 0 | 0.34 | 2019 |
| ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning | 3 | 0.42 | 2019 |
| Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. | 0 | 0.34 | 2019 |
| Unsupervised domain adaptation for robust sensory systems | 0 | 0.34 | 2019 |
| Pervasive Data Science and AI | 0 | 0.34 | 2019 |
| Deterministic binary filters for keyword spotting applications. | 0 | 0.34 | 2018 |
| Deterministic Binary Filters for Convolutional Neural Networks. | 0 | 0.34 | 2018 |
| Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. | 0 | 0.34 | 2018 |
| The Deep (Learning) Transformation of Mobile and Embedded Computing. | 5 | 0.46 | 2018 |
| Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. | 0 | 0.34 | 2018 |
| Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. | 4 | 0.38 | 2018 |
| On Robustness of Cloud Speech APIs: An Early Characterization. | 1 | 0.34 | 2018 |
| Squeezing Deep Learning into Mobile and Embedded Devices. | 23 | 0.83 | 2017 |
| DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. | 17 | 0.69 | 2017 |
| Scaling health analytics to millions without compromising privacy using deep distributed behavior models. | 0 | 0.34 | 2017 |
