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Found 8 papers, 2 papers with code
Extended Feature Space-Based Automatic Melanoma Detection System
In recent years, the detection of melanoma using image processing techniques has become a dominant research field.
GDC- Generalized Distribution Calibration for Few-Shot Learning
Few shot learning is an important problem in machine learning as large labelled datasets take considerable time and effort to assemble.
Generalized Sampling Method for Few Shot Learning
Few shot learning is an important problem in machine learning as large labelled datasets take considerable time and effort to assemble.
Learning Robust Latent Representations for Controllable Speech Synthesis
State-of-the-art Variational Auto-Encoders (VAEs) for learning disentangled latent representations give impressive results in discovering features like pitch, pause duration, and accent in speech data, leading to highly controllable text-to-speech (TTS) synthesis.
Adaptive Attention Span in Computer Vision
Recent developments in Transformers for language modeling have opened new areas of research in computer vision.
Adaptive Transformers in RL
In this work we first partially replicate the results shown in Stabilizing Transformers in RL on both reactive and memory based environments.
Partially Observable Reinforcement Learning
reinforcement-learning
+1
Routing in Wireless Mesh Networks: Two Soft Computing Based Approaches
Based upon this distance (cost) between two adjacent nodes we evaluate minimal shortest path that updates routing tables.
Soft Computing Framework for Routing in Wireless Mesh Networks: An Integrated Cost Function Approach
Dynamic behaviour of a WMN imposes stringent constraints on the routing policy of the network.
