119 results on '"Constantin Mocanu"'
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2. Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers.
3. Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks.
4. MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
5. Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
6. Dynamic Sparse Training for Deep Reinforcement Learning.
7. Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks.
8. More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.
9. Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.
10. Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.
11. Sparse Training Theory for Scalable and Efficient Agents.
12. Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training.
13. Selfish Sparse RNN Training.
14. Topological Insights into Sparse Neural Networks.
15. A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction.
16. The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
17. Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.
18. Where to Pay Attention in Sparse Training for Feature Selection?
19. Dynamic Sparse Network for Time Series Classification: Learning What to 'See'.
20. Self-Attention Meta-Learner for Continual Learning.
21. Learning with delayed synaptic plasticity.
22. You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
23. Synopsis of the PhD Thesis - Network Computations in Artificial Intelligence.
24. Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution.
25. Effect of lossy networks on stereoscopic 3D-video streams.
26. Novelty producing synaptic plasticity.
27. One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach.
28. Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
29. Decentralized dynamic understanding of hidden relations in complex networks
30. A Regression Method for real-time video quality evaluation.
31. Big IoT data mining for real-time energy disaggregation in buildings.
32. Predictive Power Control in Wireless Sensor Networks.
33. Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams.
34. Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics.
35. Reduced reference image quality assessment via Boltzmann Machines.
36. Cognitive streaming on android devices.
37. Cognitive no-reference video quality assessment for mobile streaming services.
38. Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment.
39. When does lower bitrate give higher quality in modern video services?
40. Deep learning for objective quality assessment of 3D images.
41. Inexpensive user tracking using Boltzmann Machines.
42. Node centrality awareness via swarming effects.
43. Network performance assessment with Quality of experience benchmarks.
44. End-to-end performance evaluation in high-speed wireless networks.
45. Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks
46. Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.
47. Predicting Battery Depletion of Neighboring Wireless Sensor Nodes.
48. SpaceNet: Make Free Space for Continual Learning
49. Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
50. On the Synergy of Network Science and Artificial Intelligence.
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