AutoML Seminars
1.1K subscribers
51:36
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
AutoML Seminars
32 views • 3 hours ago
38:27
einspace: Searching for Neural Architectures from Fundamental Operations
AutoML Seminars
187 views • 13 days ago
35:23
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed MoE
AutoML Seminars
90 views • 2 months ago
35:19
Vanilla Bayesian Optimization Performs Great in High Dimensions
AutoML Seminars
3.8K views • 3 months ago
43:05
Multi-objective Differentiable Neural Architecture Search
AutoML Seminars
291 views • 3 months ago
30:12
Neural Fine-Tuning Search for Few-Shot Learning
AutoML Seminars
147 views • 4 months ago
43:47
Is Mamba Capable of In-Context Learning?
AutoML Seminars
428 views • 5 months ago
39:38
Sebastian Pineda - Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
AutoML Seminars
1.7K views • 5 months ago
48:45
Xingyou (Richard) Song - OmniPred: Towards Universal Regressors with Language Models
AutoML Seminars
517 views • 5 months ago
45:12
Nick Erickson - AutoGluon 1.0: Shattering the SOTA with Zeroshot-HPO & Dynamic Stacking
AutoML Seminars
270 views • 7 months ago
40:35
Rhea Sukthanker and Samuel Dooley - Rethinking Bias Mitigation
AutoML Seminars
166 views • 7 months ago
58:18
Andreas Mueller - MotherNet: A Foundational Hypernetwork for Tabular Classification
AutoML Seminars
349 views • 8 months ago
25:32
Arkadiy Dushatskiy: Multi-Objective Population Based Training
AutoML Seminars
119 views • 9 months ago
30:03
LLMs for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
AutoML Seminars
460 views • 11 months ago
45:31
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
AutoML Seminars
216 views • 11 months ago
32:20
Theresa Eimer: "Challenges in Hyperparameter Optimization for Reinforcement Learning"
AutoML Seminars
162 views • 1 year ago
42:29
Alina Selega: "MO-BO with heuristic objectives for biomedical and molecular data analysis workflows"
AutoML Seminars
137 views • 1 year ago
50:18
Discovering Black-Box Optimizers via Evolutionary Meta-Learning
AutoML Seminars
579 views • 1 year ago
32:51
Nicholas Roberts, Samuel Guo, Cong Xu: "AutoML Decathlon Challenge"
AutoML Seminars
112 views • 1 year ago
48:10
Carola Doerr: "Hyperparameter optim. & algorithm configuration from a black-box optim. perspective"
AutoML Seminars
280 views • 1 year ago
42:25
Richard Song: "Open Source Vizier"
AutoML Seminars
284 views • 1 year ago
30:10
Kartik Chandra / Audrey Xie: "Gradient Descent: The Ultimate Optimizer"
AutoML Seminars
563 views • 1 year ago
46:33
Subho Mukherjee: "AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers"
AutoML Seminars
168 views • 1 year ago
44:05
Lisa Dunlap | "Hyperparameter Tuning on the Cloud"
AutoML Seminars
146 views • 1 year ago
1:01:54
Łukasz Dudziak | "Challenges of federated and zero-cost NAS"
AutoML Seminars
171 views • 1 year ago
36:07
Xingchen Wan | "Bayesian Generational Population-Based Training"
AutoML Seminars
216 views • 1 year ago
45:53
Jiaming Song | "A General Recipe for Likelihood-free Bayesian Optimization"
AutoML Seminars
621 views • 1 year ago
43:39
Mohamed Abdelfattah | "Fast and Hardware-Aware Neural Architecture Search"
AutoML Seminars
1.2K views • 2 years ago
38:56
Yutian Chen | "Towards Learning Universal Hyperparameter Optimizers with Transformers"
AutoML Seminars
430 views • 2 years ago
51:05
Samuel Mueller | "PFNs: Use neural networks for 100x faster Bayesian predictions"
AutoML Seminars
5.4K views • 2 years ago
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