Stanford MLSys Seminars

Stanford MLSys Seminars

Stanford seminar on the frontier of machine learning and systems. Live every Thursday, 1:15-3 pm PT.

@StanfordMLSysSeminars subscribers

How Netflix does MLSys feat. Savin Goyal | Stanford MLSys Seminar Episode 17

Stanford MLSys Seminars

How Netflix does MLSys feat. Savin Goyal | Stanford MLSys Seminar Episode 17

Streamed 4 years ago - 1:01:00

Gemmini Tutorial @ MLSys 2022

Nicholas Wilde

Gemmini Tutorial @ MLSys 2022

8 months ago - 2:03:16

Machine Learning in Production - Roman Kazinnik | Stanford MLSys #66

Stanford MLSys Seminars

Machine Learning in Production - Roman Kazinnik | Stanford MLSys #66

Streamed 3 years ago - 56:36

Deep Recommender Systems at Facebook feat. Carole-Jean Wu | Stanford MLSys Seminar Episode 24

Stanford MLSys Seminars

Deep Recommender Systems at Facebook feat. Carole-Jean Wu | Stanford MLSys Seminar Episode 24

Streamed 4 years ago - 1:05:06

Stanford MLSys Seminar Episode 0: ML + Systems

Stanford MLSys Seminars

Stanford MLSys Seminar Episode 0: ML + Systems

4 years ago - 11:49

A Taxonomy of ML for Systems Problems - Martin Maas | Stanford MLSys #81

Stanford MLSys Seminars

A Taxonomy of ML for Systems Problems - Martin Maas | Stanford MLSys #81

Streamed 1 year ago - 58:30

MLSys Singapore

MLSys Singapore

MLSys Seminar @SG is a special interest group for Machine Learning System researchers and engineers in Singapore. We meet ...

@MLSysSingapore subscribers

Interactive Model Development - Fait Poms | Stanford MLSys #56

Stanford MLSys Seminars

Interactive Model Development - Fait Poms | Stanford MLSys #56

Streamed 3 years ago - 55:55

Automating Architecture Transfer feat. Ameet Talwalkar | Stanford MLSys Seminar Episode 19

Stanford MLSys Seminars

Automating Architecture Transfer feat. Ameet Talwalkar | Stanford MLSys Seminar Episode 19

Streamed 4 years ago - 58:03

MLSys'24 Best Paper - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

MIT HAN Lab

MLSys'24 Best Paper - AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

1 year ago - 18:57

ASTRA-sim Tutorial | MLSys 2022 | Part 1: Introduction

ASTRA-sim

ASTRA-sim Tutorial | MLSys 2022 | Part 1: Introduction

2 years ago - 54:18

Open-Source Systems for Federated Learning | Stanford MLSys #48

Stanford MLSys Seminars

Open-Source Systems for Federated Learning | Stanford MLSys #48

Streamed 3 years ago - 56:10

Improving Transfer and Robustness of Supervised Contrastive Learning - Dan Fu | Stanford MLSys #62

Stanford MLSys Seminars

Improving Transfer and Robustness of Supervised Contrastive Learning - Dan Fu | Stanford MLSys #62

Streamed 3 years ago - 56:53

The Next 100x - Gavin Uberti | Stanford MLSys #92

Stanford MLSys Seminars

The Next 100x - Gavin Uberti | Stanford MLSys #92

Streamed 1 year ago - 59:21

ML for ML Compilers - Mangpo Phothilimthana | Stanford MLSys #80

Stanford MLSys Seminars

ML for ML Compilers - Mangpo Phothilimthana | Stanford MLSys #80

Streamed 1 year ago - 58:07

Declarative Machine Learning with Ludwig feat. Piero Molino | Stanford MLSys Seminar Episode 13

Stanford MLSys Seminars

Declarative Machine Learning with Ludwig feat. Piero Molino | Stanford MLSys Seminar Episode 13

Streamed 4 years ago - 1:00:33

Lux: Visualization for Data Science - Doris Lee | Stanford MLSys #55

Stanford MLSys Seminars

Lux: Visualization for Data Science - Doris Lee | Stanford MLSys #55

Streamed 3 years ago - 58:43

Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu | Stanford MLSys #46

Stanford MLSys Seminars

Efficiently Modeling Long Sequences with Structured State Spaces - Albert Gu | Stanford MLSys #46

Streamed 3 years ago - 57:19

Distributed and Decentralized Learning  - Ce Zhang | Stanford MLSys #68

Stanford MLSys Seminars

Distributed and Decentralized Learning - Ce Zhang | Stanford MLSys #68

Streamed 2 years ago - 48:13

Malleable ML Systems feat. Karan Goel | Stanford MLSys Seminar Episode 29

Stanford MLSys Seminars

Malleable ML Systems feat. Karan Goel | Stanford MLSys Seminar Episode 29

Streamed 4 years ago - 56:30

How to run a BILLION IoT devices w/ Mi Zhang | Stanford MLSys #41

Stanford MLSys Seminars

How to run a BILLION IoT devices w/ Mi Zhang | Stanford MLSys #41

Streamed 3 years ago - 58:18

EVO: DNA Foundation Models - Eric Nguyen | Stanford MLSys #96

Stanford MLSys Seminars

EVO: DNA Foundation Models - Eric Nguyen | Stanford MLSys #96

Streamed 1 year ago - 1:04:36

ML-Powered Databases feat. Lin Ma | Stanford MLSys Seminar Episode 20

Stanford MLSys Seminars

ML-Powered Databases feat. Lin Ma | Stanford MLSys Seminar Episode 20

Streamed 4 years ago - 1:00:14

MLSys'25 - LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

MIT HAN Lab

MLSys'25 - LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

1 month ago - 11:36

Monarch Mixer: Making Foundation Models More Efficient - Dan Fu | Stanford MLSys #86

Stanford MLSys Seminars

Monarch Mixer: Making Foundation Models More Efficient - Dan Fu | Stanford MLSys #86

Streamed 1 year ago - 56:33

Machine Learning Everywhere feat. Pete Warden | Stanford MLSys Seminar Episode 31

Stanford MLSys Seminars

Machine Learning Everywhere feat. Pete Warden | Stanford MLSys Seminar Episode 31

Streamed 4 years ago - 58:24

Stanford MLSys Seminar Episode 5: Chip Huyen

Stanford MLSys Seminars

Stanford MLSys Seminar Episode 5: Chip Huyen

Streamed 4 years ago - 1:06:44

MLSys Podcast with Prof. Gennady and Prof. Cheng

Students @ Systems

MLSys Podcast with Prof. Gennady and Prof. Cheng

Streamed 1 year ago - 59:22

MLSys'25 - QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

MIT HAN Lab

MLSys'25 - QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

1 month ago - 13:45

Disrupting Distributed ML feat. Guanhua Wang | Stanford MLSys Seminar Episode 25

Stanford MLSys Seminars

Disrupting Distributed ML feat. Guanhua Wang | Stanford MLSys Seminar Episode 25

Streamed 4 years ago - 56:56

Causal AI for Systems feat. Pooyan Jamshidi | Stanford MLSys Seminar Episode 38

Stanford MLSys Seminars

Causal AI for Systems feat. Pooyan Jamshidi | Stanford MLSys Seminar Episode 38

Streamed 3 years ago - 1:05:36

Jeff Dean (Google Research & Deep Mind): Advances in ML for Systems and Systems for ML | MLSys 2024

DSAI by Dr. Osbert Tay

Jeff Dean (Google Research & Deep Mind): Advances in ML for Systems and Systems for ML | MLSys 2024

5 months ago - 1:20:53

ASTRA-sim Tutorial | MLSys 2022 | Part 4-3: Exercise 3

ASTRA-sim

ASTRA-sim Tutorial | MLSys 2022 | Part 4-3: Exercise 3

2 years ago - 11:40

How ML Optimizes Data Systems feat. Tim Kraska | Stanford MLSys Seminar Episode 26

Stanford MLSys Seminars

How ML Optimizes Data Systems feat. Tim Kraska | Stanford MLSys Seminar Episode 26

Streamed 4 years ago - 1:04:30

Scaling Up “Vibe Checks” for LLMs - Shreya Shankar | Stanford MLSys #97

Stanford MLSys Seminars

Scaling Up “Vibe Checks” for LLMs - Shreya Shankar | Stanford MLSys #97

Streamed 1 year ago - 55:01

What can Data-Centric AI Learn from Data and ML Engineering? - Alkis Polyzotis | Stanford MLSys #65

Stanford MLSys Seminars

What can Data-Centric AI Learn from Data and ML Engineering? - Alkis Polyzotis | Stanford MLSys #65

Streamed 3 years ago - 55:52