Articles and Blog Posts

The following is chronological listing of links to articles that have been published. To view my woefully neglected blog, visit zacklipton.wordpress.com.

ICML 2018 Registrations Sell Out Before Submission Deadline [satire] (Nov. 9, 2017)
Approximately Correct

Embracing the Diffusion of AI Research (Oct. 30, 2017)
Approximately Correct

A Pedant's Guide to Machine Learning for Healthcare 2017 (Sept. 4, 2017)
Approximately Correct

Death Note: Finally, an Anime about Deep Learning (Aug. 14, 2017)
Approximately Correct

Do I really have to cite an arXiv paper? (Aug. 1, 2017)
Approximately Correct

The Futurist's Dilemma (July 20, 2017)
Approximately Correct

NYU Law’s Algorithms and Explanations (June 5, 2017)
Approximately Correct

Press Failure: The Guardian’s “Meet Erica” (April 17, 2017)
Approximately Correct

DeepMind Solves AGI, Summons Demon (April 1, 2017)
Approximately Correct

Notes on Response to “The AI Misinformation Epidemic” (March 31, 2017)
Approximately Correct

The AI Misinformation Epidemic (March 27, 2017)
Approximately Correct

Fake News Challenge – Revised and Revisited (Feb. 26, 2017)
Approximately Correct

Is Fake News a Machine Learning Problem? (Jan. 24, 2017)
Approximately Correct

Machine Learning Meets Policy: Reflections on HUML 2016 (Dec. 20, 2016)
Approximately Correct

The Failure of Simple Narratives (Nov. 10, 2016)
Approximately Correct

The Foundations of Algorithmic Bias (Nov. 7, 2016)
Approximately Correct

Mission Statement (Oct. 31, 2016)
Approximately Correct

The Deception of Supervised Learning (Sept. 15, 2016)
KDnuggets

Stop Blaming Terminator for Bad AI Journalism (Aug. 11, 2016)
KDNuggets

The Hard Problems AI Can’t (Yet) Touch (July 14, 2016)
KDnuggets

Are Deep Neural Networks Creative? (May 12, 2016)
KDnuggets

The ICLR Experiment: Deep Learning Pioneers Take on Scientific Publishing (Feb. 15, 2016)
KDnuggets

Playing the Imitation Game with Deep Learning (Jan. 26, 2016)
IEEE Spectrum

TensorFlow is Terrific - A Sober Take on Deep Learning Acceleration (Dec. 30, 2015)
KDnuggets

Deep Learning Transcends the Bag of Words (Dec. 7, 2015)
KDnuggets

Interview with MetaMind Mastermind Richard Socher (Oct. 20, 2015)
KDnuggets

Rich Data Summit Takeaways (Oct. 19, 2015)
KDnuggets

Does Deep Learning Come from the Devil? (Distilling the Debate from Yandex Machine Learning Conference) (Oct. 9, 2015)
KDnuggets

Recycling Deep Learning Models with Transfer Learning (Aug. 14, 2015)
KDnuggets

arXiv.org and the 24 Hour Research Cycle (July 21, 2015)
KDnuggets

Deep Learning and the Triumph of Empiricism (July 7, 2015)
KDnuggets

Not So Fast: Questioning Deep Learning IQ Results (June 15, 2015)
KDnuggets

A Rigorous and Readable Review on Recurrent Neural Networks (June 2, 2015)
Terminal Blog

Looking Back at "Finding Structure in Time" (May 22, 2015)
Terminal Blog

Demystifying Long Short Term Memory (LSTM) Recurrent Neural Networks (May 18, 2015)
Terminal Blog

Will the Real Data Scientists Please Stand Up? (May 18, 2015)
KDnuggets

On Cloud Machine Startups, Ostrich Mania, and The Uncanny Valley (May 14, 2015)
KDnuggets

No More Local Minima? (May 4, 2015)
Terminal Blog

The Myth of Model Interpretability (April 27, 2015)
KDnuggets

Cloud Machine Learning: Comparing Amazon, IBM Watson & Microsoft Azure ML (April 15, 2015)
KDnuggets

Idiot-Proof Validation (April 8, 2015)
Terminal Blog

Learning to Read with Recurrent Neural Networks (April 5, 2015)
Terminal Blog

Gold Mine or Blind Alley? Functional Programming for Big Data and Machine Learning (April 1, 2015)
KDnuggets

Do We Need More Training Data or More Complex Models? (March 23, 2015)
KDnuggets

The Economics of Virtualization (March 10, 2015)
Terminal Blog

Failing Optimally – Data Science’s Measurement Problem (March 4, 2015)
KDnuggets

Data Science's Most Used, Confused, and Abused Jargon (Feb. 10, 2015)
KDnuggets

(Deep Learning's Deep Flaws)'s Deep Flaws (Jan. 26, 2015)
KDnuggets

The High Cost of Maintaining Machine Learning Systems (Jan. 21, 2015)
KDnuggets

MetaMind Competes with IBM Watson Analytics and Microsoft Azure Machine Learning (Jan. 14, 2015)
KDnuggets

Differential Privacy: How to make Privacy and Data Mining Compatible (Jan. 9, 2015)
KDnuggets

Stanford’s AI100: Century-Long Study on Effects of Artificial Intelligence on Human Life (Dec. 26, 2014)
KDnuggets

IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1) (Dec. 16, 2014)
KDnuggets

Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning (Dec. 9, 2014)
KDnuggets

zlipton@cs.ucsd.edu