Ted Willke
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- MLconf SF3 editions2014–2019
on a stage with
never shared a talk
who talks about the same things
- David vonThenen10 talks
- Anima Anandkumar7 talks
- Tarry Singh7 talks
- Ivy Zhu2 talks
- Milind Hanchinmani3 talks
- Daniel Whitenack5 talks
| title | conference | date |
|---|---|---|
| The Brain’s Guide to Dealing with Context in Language Understanding | MLconf SF 2019 | 2019-11-08 |
Argues that language regions form a hierarchy of timescales and shows that modern models mirror this: compares LSTMs, temporal convolutional network (TCN) and… | ||
| Ted Willke, Sr. Principal Engineer, Intel | MLconf SF 2017 | 2017-11-10 |
Uses low-flying snotbot drones and shore photos to do two practical ML systems on Alaska 2017 expeditions: a fluke-ID pipeline that extracts trailing-edge… | ||
| Can Cognitive Neuroscience Provide a Theory of Deep Learning... | MLconf 2016 Seattle | 2016-05-20 |
Claims that biological brains limit multitasking because shared, reused representations cause interference lead to concrete measurements: convert tasks to an… | ||
| Ted Willke, Senior Principal Engineer, Intel Labs | MLconf NYC 2015 | 2015-03-27 |
Claims real-time fMRI decoding can distinguish covert attention to faces versus scenes with around 95% accuracy by running MVPA and SVM on voxel time series… | ||
| Ted Willke, Senior Principal Engineer & GM, Datacenter Group, Intel | MLconf SF 2014 | 2014-11-14 |
Demo compares 1,300 molecules visually but notes the n^2 problem for millions of compounds, argues for treating graphs as a data-structure primitive by reusing… | ||
| nothing matches | ||