Chunlin Ji

3 papers · 2023–2023 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 📈 Trend Setter

Venues

ACML (3)

Top co-authors

Yuhao Fu (2) Meiying Zhang (1) Huiwen Yang (1) Feng Chen (1) Hanchun Shen (1) Zhan Xiong (1) Ping He (1)

Research topics

Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Mathematics & Optimization (1) Bayesian & Probabilistic (1) Learning Types · Machine Learning (1) Mathematics (1) Optimization (1)

Keywords

information theory (1) riemannian optimization (1) representation learning (1) stochastic gradient descent (1) zero-shot learning (1) embedding space (1) knowledge transfer (1) kl divergence (1) expectation maximization (1) deep kernel learning (1) natural gradient (1) covariance matrix (1) mutual information (1) kernel regression (1) kernel hyperparameters (1) gaussian mixture model (1) deep neural network (1) prototypical network (1) generalized zero-shot learning (1) neural network (1)

Papers

Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 Deep Kernel Regression with Finite Learnable Kernels ACML 2023 Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning ACML 2023