41:48
Deep Learning Demystified | Will Ramey Nvidia GTC
AIP - State-of-the-Art AI Research
Shared 22/03/2024
16:18
Foundation Models of Scientific Knowledge for Chemistry
AIP - State-of-the-Art AI Research
Shared 12/12/2023
01:55:31
Theory and Practice of Efficient and Accurate Dataset Construction | NeurIPS
AIP - State-of-the-Art AI Research
Shared 11/12/2023
35:03
NeurIPS Tutorial: Lifelong Learning Machines Panel Talk
AIP - State-of-the-Art AI Research
Shared 08/12/2023
43:16
NeurIPS Panel: Creative Culture and Machine Learning
AIP - State-of-the-Art AI Research
Shared 07/12/2023
33:40
NeurIPS Panel - Tutorial: Theory and Practice of Efficient and Accurate Dataset Construction
AIP - State-of-the-Art AI Research
Shared 05/12/2023
29:23
NeurIPS Panel Talk: The Role of Meta-learning for Few-shot Learning
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Shared 04/12/2023
27:10
Data Compression with Machine Learning | NeurIPS Tutorial Panel Talk
AIP - State-of-the-Art AI Research
Shared 03/12/2023
04:59
projUNN: efficient method for training deep networks with unitary matrices | NeurIPS
AIP - State-of-the-Art AI Research
Shared 01/12/2023
01:23:36
NeurIPS: Ethics of Artificial Intelligence & Large Scale Machine Learning
AIP - State-of-the-Art AI Research
Shared 29/11/2023
20:39
NeurIPS: How could Lifelong Learning Benefit AI?
AIP - State-of-the-Art AI Research
Shared 27/11/2023
01:24:09
Yoshua Bengio at NeurIPS: A Deep Learning Journey
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Shared 26/11/2023
04:28
NeurIPS Tutorial: Foundational Robustness of Foundation Models Q A
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Shared 25/11/2023
30:44
NeurIPS Panel Talk: Advances in Bayesian Optimization
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Shared 24/11/2023
33:33
NeurIPS Tutorial: Foundational Robustness of Foundation Models Panel Talk
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Shared 23/11/2023
31:06
Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
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Shared 22/11/2023
04:50
MAg-Net: Mesh-Agnostic Neural PDE Solvers
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Shared 21/11/2023
28
NeurIPS: Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives Panel
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Shared 20/11/2023
05:15
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone | Microsoft NYU UCLA NeurIPS
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Shared 20/11/2023
05:17
Yoshua Bengio: Controlled Sparsity via Constrained Optimization | #Mila #Montreal #CIFAR
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Shared 20/11/2023
05:24
Yoshua Bengio Team: Weakly Supervised Representation Learning with Sparse Perturbations
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Shared 18/11/2023
05:32
Thomas Wolf sharing on Role play with Large Language Model on X
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Shared 18/11/2023
04:56
Yoshua Bengio Team at NeurIPS: Trajectory Balance: Improved Credit Assignment in GFlowNets | Mila
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Shared 17/11/2023
04:39
Yoshua Bengio Team at NeurIPS: Temporal Latent Bottleneck
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Shared 16/11/2023
04:43
NeurIPS Q&A - Tutorial: Algorithmic discrimination at the intersection
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Shared 15/11/2023
23
150X FASTER DataFrame Processing !!!#ailearning #deeplearning #pandas #df #nvidia #rapids #rapidsai
AIP - State-of-the-Art AI Research
Shared 15/11/2023