A Probabilistic approach for Learning Embeddings without Supervision

17 Dec 2019Ujjal Kr DuttaMehrtash HarandiChandra Sekhar Chellu

For challenging machine learning problems such as zero-shot learning and fine-grained categorization, embedding learning is the machinery of choice because of its ability to learn generic notions of similarity, as opposed to class-specific concepts in standard classification models. Embedding learning aims at learning discriminative representations of data such that similar examples are pulled closer, while pushing away dissimilar ones... (read more)

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