Aakash Kaku

4 papers · 2020–2022 · 3 venues · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICML (1) MLHC (1)

Top co-authors

Carlos Fernandez-Granda (3) Narges Razavian (2) Anita Venkatesan (2) Natasha Pandit (2) Avinash Parnandi (2) Heidi Schambra (2) Kannan Venkataramanan (1) Sreyas Mohan (1) Haoxiang Huang (1) Haresh Rengaraj Rajamohan (1)

Research topics

Machine Learning (4) Computer Vision (3) Deep Learning (3) Core Methods (3) Domain-Specific (3) Learning Types · Deep Learning (2) Data Science & Analytics (1) Applications (1) Architectures (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

time series analysis (1) contrastive learning (1) action recognition (1) uncertainty quantification (1) epistemic uncertainty (1) self-supervised learning (1) medical imaging (1) probability estimation (1) video analysis (1) feature similarity (1) convolutional neural network (1) deep neural network (1) wearable sensor (1) aleatoric uncertainty (1) contrastive loss (1) histopathology image (1) instance normalization (1) feature reuse (1) radar image (1) inertial measurement unit (1)

Papers

Deep Probability Estimation ICML 2022 StrokeRehab: A Benchmark Dataset for Sub-second Action Identification NeurIPS 2022 Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning NeurIPS 2021 Towards data-driven stroke rehabilitation via wearable sensors and deep learning MLHC 2020