Archives for Energy-Based Models
The popularity of GANs and generative modelling is clearly on the rise. However, there is a significant performance gap between the strongest generative modelling approach and customised solutions for each specific problem. Practitioners believe that many tasks that are discriminative in nature, including the state-of-the-art generative models, have diverged quite heavily from state-of-the-art discriminative architectures. …
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Associative memory is a strategy developed by living organisms over many years of evolution. This is true of humans, as we use associative memory to tell a story about two unrelated things to grasp more information in less time. Memory optimisation is important in case of resource-hungry deep learning tasks as well. Though the analogy…
The post What Are Deep Energy-Based Memory Models? appeared first on Analytics India Magazine.