Daniel Hsu
where else to find them
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what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Aditi Raghunathanonce
- Alma Leeonce
- Axel Chouonce
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who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Discussion Session | Special Year on Large Language Models and Transformers, Part 1 Boot Camp | 2024-09-04 |
A wide-ranging discussion maps specific research bets and failures: controlled data and open‑source training to test combinatorial creativity and diffusion… | ||
| Introduction to Transformers | Special Year on Large Language Models and Transformers, Part 1 Boot Camp | 2024-09-04 |
Explains that the core self-attention unit implements an induction heads behavior that requires a two-layer subcircuit (copy key one step, then match query) to… | ||
| All the way from edge to intelligence to accelerate the adoption of smart manufacturing | Industrial IoT Virtual Summit 2020 | 2020-09-22 |
Shows concrete deployments: a vision-equipped robot that learns a new plant type in 15 minutes and robot picks 500 plants after 15-minute training, cutting… | ||
| Tensor Decompositions for Learning Latent Variable Models I | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Claims that a mixture of multinomial topic models with one topic per document is identifiable from third-order moments when topic word-vectors are linearly… | ||
| Tensor Decompositions for Learning Latent Variable Models II | Foundations of Machine Learning Boot Camp 2017 | 2017-01-23 |
Shows that third-order moments plus a whitening reduction recover latent mixtures when component means are linearly independent and weights are bounded away… | ||
| nothing matches | ||