Recent Advances in Deep Learning: An Overview
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Abstract (arXiv)
Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence research. It is also one of the most popular scientific research trends now-a-days. Deep learning methods have brought revolutionary advances in computer vision and machine learning. Every now and then, new and new deep learning techniques are being born, outperforming state-of-the-art machine learning and even existing deep learning techniques. In recent years, the world has seen many major breakthroughs in this field. Since deep learning is evolving at a huge speed, its kind of hard to keep track of the regular advances especially for new researchers. In this paper, we are going to briefly discuss about recent advances in Deep Learning for past few years.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jul 2018.
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Citing papers per year: 2021: 5; 2022: 2; 2023: 0; 2024: 2; 2025: 1.
10 papers.
- 2021Student Network Learning via Evolutionary Knowledge Distillationcited by 30
- 2022Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Designcited by 8
- 2024LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Explorationcited by 5
- 2021A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusioncited by 1
- 2021Noisy Truncated SGD: Optimization and Generalizationcited by 1
- 2021Early Melanoma Diagnosis with Sequential Dermoscopic Imagescited by 1
- 2025Artificial Satellite Trails Detection Using U-Net Deep Neural Network and Line Segment Detector Algorithmcited by 1
- 2021Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollerscited by 0
- 2022Knowing the Past to Predict the Future: Reinforcement Virtual Learningcited by 0
- 2024Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantizationcited by 0
- 2025Artificial Satellite Trails Detection Using U-Net Deep Neural Network and Line Segment Detector Algorithm20 Sep 2025
- 2024Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization12 Aug 2024
- 2024LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration9 Jul 2024
- 2022Knowing the Past to Predict the Future: Reinforcement Virtual Learning2 Nov 2022
- 2022Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design21 Jul 2022
- 2021Early Melanoma Diagnosis with Sequential Dermoscopic Images12 Oct 2021
- 2021Student Network Learning via Evolutionary Knowledge Distillation23 Mar 2021
- 2021Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers27 Feb 2021
- 2021Noisy Truncated SGD: Optimization and Generalization26 Feb 2021
- 2021A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion22 Jan 2021