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cs.LG2025
MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
Shreyas Gokhale
Learning high-quality, robust, efficient, and disentangled representations is a central challenge in artificial intelligence (AI). Deep metric learning frameworks tackle this chall…
cs.LG2023
The semantic landscape paradigm for neural networks
Shreyas Gokhale
Deep neural networks exhibit a fascinating spectrum of phenomena ranging from predictable scaling laws to the unpredictable emergence of new capabilities as a function of training…