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

Gemmini Tutorial @ MLSys 2022

Nicholas Wilde

Gemmini Tutorial @ MLSys 2022

8 months ago - 2:03:16

Stanford MLSys Seminar Episode 0: ML + Systems

Stanford MLSys Seminars

Stanford MLSys Seminar Episode 0: ML + Systems

4 years ago - 11:49

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

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

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

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

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

Professional Norms in Generative AI - Rob Reich  | Stanford MLSys #74

Stanford MLSys Seminars

Professional Norms in Generative AI - Rob Reich | Stanford MLSys #74

Streamed 2 years ago - 1:00:37

Foundation Models on Consumer Devices - Tianqi Chen | Stanford MLSys #85

Stanford MLSys Seminars

Foundation Models on Consumer Devices - Tianqi Chen | Stanford MLSys #85

Streamed 1 year ago - 47:35

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

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

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

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

ASTRA-sim

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

2 years ago - 54:18

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

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

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

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

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

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

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

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

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

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

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

MLSys'2021 Oral: IOS: Inter-Operator Scheduler for CNN Acceleration (Full Talk)

UofT-EcoSystem

MLSys'2021 Oral: IOS: Inter-Operator Scheduler for CNN Acceleration (Full Talk)

4 years ago - 16:05

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'2021: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads (Full Talk)

UofT-EcoSystem

MLSys'2021: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads (Full Talk)

4 years ago - 17:07

MLSys'2021 Oral: IOS: Inter-Operator Scheduler for CNN Acceleration (Lightning)

UofT-EcoSystem

MLSys'2021 Oral: IOS: Inter-Operator Scheduler for CNN Acceleration (Lightning)

4 years ago - 4:45

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

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

Data Science for Infrastructure w Pixie CEO Zain Asgar | Stanford MLSys #47

Stanford MLSys Seminars

Data Science for Infrastructure w Pixie CEO Zain Asgar | Stanford MLSys #47

Streamed 3 years ago - 55:24

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

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

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

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

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

[MLSys'21][Poster] Fluid: Resource-aware Hyperparameter Tuning Engine

Peifeng Yu

[MLSys'21][Poster] Fluid: Resource-aware Hyperparameter Tuning Engine

4 years ago - 4:15

FlashAttention - Tri Dao | Stanford MLSys #67

Stanford MLSys Seminars

FlashAttention - Tri Dao | Stanford MLSys #67

Streamed 2 years ago - 58:58

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

[MLSys'21][Oral] Fluid: Resource-aware Hyperparameter Tuning Engine

Peifeng Yu

[MLSys'21][Oral] Fluid: Resource-aware Hyperparameter Tuning Engine

4 years ago - 14:58

MLSys'2021: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads (Lightning)

UofT-EcoSystem

MLSys'2021: RL-Scope: Cross-stack Profiling for Deep Reinforcement Learning Workloads (Lightning)

4 years ago - 5:11

MLSys 2023 Workshop on Resource-Constrained Learning in Wireless Networks

Navid NaderiAlizadeh

MLSys 2023 Workshop on Resource-Constrained Learning in Wireless Networks

2 years ago - 6:00:18

“Boring” Problems in Distributed ML feat. Richard Liaw | Stanford MLSys Seminar Episode 28

Stanford MLSys Seminars

“Boring” Problems in Distributed ML feat. Richard Liaw | Stanford MLSys Seminar Episode 28

Streamed 4 years ago - 58:21

MLSys'2021: IOS: Inter-Operator Scheduler for CNN Acceleration (Full Talk)

MIT HAN Lab

MLSys'2021: IOS: Inter-Operator Scheduler for CNN Acceleration (Full Talk)

4 years ago - 16:05

What do Machines Know? feat. Fabio Petroni | Stanford MLSys Seminar Episode 16

Stanford MLSys Seminars

What do Machines Know? feat. Fabio Petroni | Stanford MLSys Seminar Episode 16

Streamed 4 years ago - 1:01:57

ML Frameworks for Chatbots feat. Chris Kedzie | Stanford MLSys Seminar Episode 34

Stanford MLSys Seminars

ML Frameworks for Chatbots feat. Chris Kedzie | Stanford MLSys Seminar Episode 34

Streamed 3 years ago - 58:47

How Facebook/Meta Design Sustainable Datacenters with AI - Bilge Acun | Stanford MLSys #52

Stanford MLSys Seminars

How Facebook/Meta Design Sustainable Datacenters with AI - Bilge Acun | Stanford MLSys #52

Streamed 3 years ago - 58:11

Baharan Mirzasoleiman - The Problems with Big Data in Machine Learning

Stanford MLSys Seminars

Baharan Mirzasoleiman - The Problems with Big Data in Machine Learning

3 years ago - 3:35

ASTRA-sim Tutorial | MLSys 2022 | Part 4-2: Exercise 2

ASTRA-sim

ASTRA-sim Tutorial | MLSys 2022 | Part 4-2: Exercise 2

2 years ago - 8:08

NLP Beyond Softmax feat. Sasha Rush | Stanford MLSys Seminar Episode 33

Stanford MLSys Seminars

NLP Beyond Softmax feat. Sasha Rush | Stanford MLSys Seminar Episode 33

Streamed 4 years ago - 59:30

Bridging Models and Data feat. Willem Pienaar | Stanford MLSys Seminar Episode 32

Stanford MLSys Seminars

Bridging Models and Data feat. Willem Pienaar | Stanford MLSys Seminar Episode 32

Streamed 4 years ago - 1:03:45

Baharan Mirzasoleiman - How Structure Helps in Machine Learning

Stanford MLSys Seminars

Baharan Mirzasoleiman - How Structure Helps in Machine Learning

3 years ago - 2:25

Symbols and Rules with Deep Learning - Ellie Pavlick | Stanford MLSys #54

Stanford MLSys Seminars

Symbols and Rules with Deep Learning - Ellie Pavlick | Stanford MLSys #54

Streamed 3 years ago - 1:01:40

Resource-Efficient Deep Learning Execution - Deepak Narayanan | Stanford MLSys #50

Stanford MLSys Seminars

Resource-Efficient Deep Learning Execution - Deepak Narayanan | Stanford MLSys #50

Streamed 3 years ago - 57:14

MLSys'2021 Oral: Horizontally Fused Training Array

UofT-EcoSystem

MLSys'2021 Oral: Horizontally Fused Training Array

4 years ago - 16:38