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

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

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

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

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

6 months ago - 1:20:53

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

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

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

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

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

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

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

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 Podcast with Prof. Gennady and Prof. Cheng

Students @ Systems

MLSys Podcast with Prof. Gennady and Prof. Cheng

Streamed 1 year ago - 59:22

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

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

2 months 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

Big Data Analytics - Kexin Rong | Stanford MLSys #61

Stanford MLSys Seminars

Big Data Analytics - Kexin Rong | Stanford MLSys #61

Streamed 3 years ago - 59:21

Yejin Choi: Possible Impossibilities and Impossible Possibilities | MLSys 2024

DSAI by Dr. Osbert Tay

Yejin Choi: Possible Impossibilities and Impossible Possibilities | MLSys 2024

6 months ago - 1:00:28

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

ASTRA-sim

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

2 years ago - 54:18

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

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

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

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

2 months ago - 13:45

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

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

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

Tiny ML, Harvard Style - Vijay Janapa Reddi | Stanford MLSys #57

Stanford MLSys Seminars

Tiny ML, Harvard Style - Vijay Janapa Reddi | Stanford MLSys #57

Streamed 3 years ago - 57:37

FlashAttention - Tri Dao | Stanford MLSys #67

Stanford MLSys Seminars

FlashAttention - Tri Dao | Stanford MLSys #67

Streamed 2 years ago - 58:58

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

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

“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

Distributed ML with H2O feat. Erin LeDell | Stanford MLSys Seminar Episode 23

Stanford MLSys Seminars

Distributed ML with H2O feat. Erin LeDell | Stanford MLSys Seminar Episode 23

Streamed 4 years ago - 1:05:35

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

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

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 4 years ago - 58:47

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

Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83

Stanford MLSys Seminars

Training LLMs at Scale - Deepak Narayanan | Stanford MLSys #83

Streamed 1 year ago - 56:00

ASTRA-sim Tutorial | MLSys 2022 | Part 5: Closing Remarks

ASTRA-sim

ASTRA-sim Tutorial | MLSys 2022 | Part 5: Closing Remarks

2 years ago - 5:42

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

Weak Supervision for Diverse Datatypes - Fred Sala | Stanford MLSys #51

Stanford MLSys Seminars

Weak Supervision for Diverse Datatypes - Fred Sala | Stanford MLSys #51

Streamed 3 years ago - 53:18

[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

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

The Missing Link in ML Infrastructure feat. Josh Tobin | Stanford MLSys Seminar Episode 11

Stanford MLSys Seminars

The Missing Link in ML Infrastructure feat. Josh Tobin | Stanford MLSys Seminar Episode 11

Streamed 4 years ago - 1:01:23

MLSys'2021 Oral: Horizontally Fused Training Array

UofT-EcoSystem

MLSys'2021 Oral: Horizontally Fused Training Array

4 years ago - 16:38

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

Peifeng Yu

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

4 years ago - 4:15

Baharan Mirzasoleiman - How Structure Helps in Machine Learning

Stanford MLSys Seminars

Baharan Mirzasoleiman - How Structure Helps in Machine Learning

3 years ago - 2:25

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

Yaoyao Ding

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

4 years ago - 4:45

ASTRA-sim Tutorial | MLSys 2022 | Part 4-1: Exercise 1

ASTRA-sim

ASTRA-sim Tutorial | MLSys 2022 | Part 4-1: Exercise 1

2 years ago - 10:32

Notes on AI Hardware - Benjamin Spector | Stanford MLSys #88

Stanford MLSys Seminars

Notes on AI Hardware - Benjamin Spector | Stanford MLSys #88

Streamed 1 year ago - 1:16:48

Building ML Models like Open-Source Software  - Colin Raffel  | Stanford MLSys #72

Stanford MLSys Seminars

Building ML Models like Open-Source Software - Colin Raffel | Stanford MLSys #72

Streamed 2 years ago - 59:23

Distributed Neural Search feat. Rutuja Surve | Stanford MLSys Seminar Episode 21

Stanford MLSys Seminars

Distributed Neural Search feat. Rutuja Surve | Stanford MLSys Seminar Episode 21

Streamed 4 years ago - 59:54

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

Robustness/Interpretability in Vision & Language Models - Arjun Akula | Stanford MLSys #63

Stanford MLSys Seminars

Robustness/Interpretability in Vision & Language Models - Arjun Akula | Stanford MLSys #63

Streamed 3 years ago - 55:22

[MLSys 2022] BNS-GCN

Efficient and Intelligent Computing Lab

[MLSys 2022] BNS-GCN

2 years ago - 16:13

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

Open Pretrained Transformers - Susan Zhang  | Stanford MLSys #77

Stanford MLSys Seminars

Open Pretrained Transformers - Susan Zhang | Stanford MLSys #77

Streamed 2 years ago - 1:00:05

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

Stanford MLSys Seminar Episode 2: Matei Zaharia

Stanford MLSys Seminars

Stanford MLSys Seminar Episode 2: Matei Zaharia

Streamed 4 years ago - 59:44

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

ASTRA-sim

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

2 years ago - 6:05

Stanford PhD Albert Gu - Why S4 Works

Stanford MLSys Seminars

Stanford PhD Albert Gu - Why S4 Works

3 years ago - 4:11

MLSys'21 Poster: Horizontally Fused Training Array

Shang Wang

MLSys'21 Poster: Horizontally Fused Training Array

4 years ago - 4:40

Scaling Polyhedral Neural Network Verification on GPUs [MLSys'21]

François Serre

Scaling Polyhedral Neural Network Verification on GPUs [MLSys'21]

4 years ago - 17:21

Scalable Binary Analysis for Security feat. Suman Jana | Stanford MLSys Seminar Episode 36

Stanford MLSys Seminars

Scalable Binary Analysis for Security feat. Suman Jana | Stanford MLSys Seminar Episode 36

Streamed 3 years ago - 1:00:19

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

ASTRA-sim

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

2 years ago - 50:56

How Uber Predicts Arrival Times - Xinyu Hu and Olcay Cirit | Stanford MLSys #64

Stanford MLSys Seminars

How Uber Predicts Arrival Times - Xinyu Hu and Olcay Cirit | Stanford MLSys #64

Streamed 3 years ago - 54:27

Comet CEO Gideon Mendels on why industry is behind academia in machine learning

Stanford MLSys Seminars

Comet CEO Gideon Mendels on why industry is behind academia in machine learning

3 years ago - 1:54

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

Training llms at scale deepak narayanan stanford mlsys 83

CodeMade

Training llms at scale deepak narayanan stanford mlsys 83

4 months ago - 20:21

Software 2.0 for Data Quality feat. Theodoros Rekatsinas | Stanford MLSys Seminar Episode 18

Stanford MLSys Seminars

Software 2.0 for Data Quality feat. Theodoros Rekatsinas | Stanford MLSys Seminar Episode 18

Streamed 4 years ago - 59:46

Data Selection for Data-Centric AI - Cody Coleman | Stanford MLSys #53

Stanford MLSys Seminars

Data Selection for Data-Centric AI - Cody Coleman | Stanford MLSys #53

Streamed 3 years ago - 55:26

Baharan Mirzasoleiman on Fast and Efficient Machine Learning with CRAIG

Stanford MLSys Seminars

Baharan Mirzasoleiman on Fast and Efficient Machine Learning with CRAIG

3 years ago - 4:51

AI Safety, RLHF, and Self-Supervision - Jared Kaplan  | Stanford MLSys #79

Stanford MLSys Seminars

AI Safety, RLHF, and Self-Supervision - Jared Kaplan | Stanford MLSys #79

Streamed 2 years ago - 1:02:38

Distributed ML for Federated Learning feat. Chaoyang He | Stanford MLSys Seminar Episode 37

Stanford MLSys Seminars

Distributed ML for Federated Learning feat. Chaoyang He | Stanford MLSys Seminar Episode 37

Streamed 3 years ago - 1:06:32

Poisoning Web-Scale Training Datasets - Nicholas Carlini  | Stanford MLSys #75

Stanford MLSys Seminars

Poisoning Web-Scale Training Datasets - Nicholas Carlini | Stanford MLSys #75

Streamed 2 years ago - 58:07

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

Debugging ML in Production feat. Shreya Shankar | Stanford MLSys Seminar Episode 12

Stanford MLSys Seminars

Debugging ML in Production feat. Shreya Shankar | Stanford MLSys Seminar Episode 12

Streamed 4 years ago - 59:18

Pixie CEO Zain Asgar - Benefits of a Systems Mind in ML and Startups

Stanford MLSys Seminars

Pixie CEO Zain Asgar - Benefits of a Systems Mind in ML and Startups

3 years ago - 4:34

Ml for ml compilers mangpo phothilimthana stanford mlsys 80

CodeBeam

Ml for ml compilers mangpo phothilimthana stanford mlsys 80

4 months ago - 23:55

Large Language Models for Program Optimization - Osbert Bastani | Stanford MLSys #91

Stanford MLSys Seminars

Large Language Models for Program Optimization - Osbert Bastani | Stanford MLSys #91

Streamed 1 year ago - 1:11:17

MIT Prof. Song Han on Reducing AI's Carbon Footprint | Stanford MLSys Seminar Episode 9

Stanford MLSys Seminars

MIT Prof. Song Han on Reducing AI's Carbon Footprint | Stanford MLSys Seminar Episode 9

Streamed 4 years ago - 56:31

Alpa: Automated Model-Parallel Deep Learning - Zhuohan Li | Stanford MLSys #59

Stanford MLSys Seminars

Alpa: Automated Model-Parallel Deep Learning - Zhuohan Li | Stanford MLSys #59

Streamed 3 years ago - 55:07