Ilan Price

4 papers · 2020–2024 · 4 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 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AISTATS (1) EMNLP (1) ICLR (1) ICML (1)

Top co-authors

Jared Tanner (2) Stephan Rasp (1) Samuel Chun Hei Lam (1) Lucas Dixon (1) Maayan Roichman (1) Jory Flemming (1) Jordan Gifford-Moore (1) Guillaume Sylvain (1) Adam Christopher Jones (1) Saul Musker (1)

Research topics

Machine Learning (4) Deep Learning (3) Application Areas (3) Architectures (2) Optimization & Theory · Machine Learning (2) Techniques (2) Core Methods (1) Learning Types (1) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

deep learning (2) neural network pruning (1) text classification (1) gaussian process (1) bias correction (1) generative adversarial network (1) activation function (1) parameter efficiency (1) numerical weather prediction (1) conversation analysis (1) annotator bia (1) neural network (1) precipitation forecasting (1) sparse initialization (1) extreme sparsity (1) dct plus sparse (1) ensemble forecasting (1) network sparsification (1) crowdworker labeling (1) model compression (1)

Papers

DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS ICLR 2024 Increasing the accuracy and resolution of precipitation forecasts using deep generative models AISTATS 2022 Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021 Six Attributes of Unhealthy Conversations EMNLP 2020