Adepu Ravi Sankar

2 papers · 2015–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird

Venues

AAAI (1) ACML (1)

Top co-authors

Vineeth N Balasubramanian (2) Yash Khasbage (1) Rahul Vigneswaran (1)

Research topics

Deep Learning (2) Machine Learning (2) Learning Types (2) Optimization & Theory · Machine Learning (2) Models (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

stochastic gradient descent (1) loss landscape (1) gibbs sampling (1) markov chain (1) contrastive divergence (1) generative model (1) restricted boltzmann machine (1) energy-based model (1) generalization performance (1) layer-wise regularization (1) neural network (1) hessian eigenspectrum (1) loss landscape analysis (1) flatter minima (1)

Papers

A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015