| | Deep Learning Is Easy – Learn Something Harder (inference.vc) |
|
67 points by hlynurd on Sept 6, 2023 | past | 23 comments
|
| | We may finally crack Maths. But should we? (inference.vc) |
|
3 points by JohnHammersley on June 9, 2023 | past
|
| | Mortal Komputation: On Hinton's argument for superhuman AI (inference.vc) |
|
1 point by lonk11 on June 4, 2023 | past | 1 comment
|
| | We May be Surprised Again: Why I take LLMs seriously (inference.vc) |
|
2 points by birriel on March 28, 2023 | past
|
| | We May be Surprised Again: Why I take LLMs seriously (inference.vc) |
|
4 points by bilsbie on March 27, 2023 | past | 2 comments
|
| | We May be Surprised Again: Why I take LLMs seriously (inference.vc) |
|
3 points by lonk11 on March 23, 2023 | past
|
| | Eastern European Guide to Writing Reference Letters (inference.vc) |
|
110 points by hunglee2 on Aug 29, 2022 | past | 67 comments
|
| | Eastern European Guide to Writing Reference Letters (inference.vc) |
|
1 point by EvgeniyZh on March 13, 2022 | past
|
| | ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus (2018) (inference.vc) |
|
105 points by lnyan on June 21, 2021 | past | 23 comments
|
| | ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus (2018) (inference.vc) |
|
20 points by melenaboija on Jan 5, 2021 | past | 8 comments
|
| | Invariant Risk Minimization: An Information Theoretic View (inference.vc) |
|
2 points by phreeza on Feb 13, 2020 | past
|
| | The secular Bayesian: Using belief distributions without believing (inference.vc) |
|
6 points by LessButBetter on Nov 1, 2019 | past
|
| | Exponentially Growing Learning Rate? Scale Invariance Induced by Batch Norm (inference.vc) |
|
1 point by bitforger on Oct 26, 2019 | past
|
| | Notes on the Limitations of the Empirical Fisher Approximation (inference.vc) |
|
1 point by idl3Y on June 7, 2019 | past
|
| | Online Bayesian Deep Learning in Production at Tencent (inference.vc) |
|
1 point by ghosthamlet on Jan 30, 2019 | past
|
| | Causal Inference 3: Counterfactuals (inference.vc) |
|
1 point by ghosthamlet on Jan 30, 2019 | past
|
| | Deep Learning Is Easy – Learn Something Harder (2016) (inference.vc) |
|
2 points by ghosthamlet on Jan 30, 2019 | past
|
| | ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus (inference.vc) |
|
184 points by dil8 on May 25, 2018 | past | 41 comments
|
| | ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus (inference.vc) |
|
2 points by stablemap on May 24, 2018 | past
|
| | The Generalization Mystery: Sharp vs. Flat Minima (inference.vc) |
|
1 point by onuralp on Jan 19, 2018 | past
|
| | The Generalization Mystery: Sharp vs. Flat Minima (inference.vc) |
|
2 points by stablemap on Jan 18, 2018 | past
|
| | Alchemy, Rigour and Engineering (inference.vc) |
|
2 points by iaw on Dec 7, 2017 | past
|
| | A Cookbook for Machine Learning: Vol 1 (inference.vc) |
|
193 points by forgotmysn on Nov 17, 2017 | past | 13 comments
|
| | Gaussian Distributions Are Soap Bubbles (inference.vc) |
|
140 points by lebek on Nov 11, 2017 | past | 33 comments
|
| | Gaussian Distributions Are Soap Bubbles (inference.vc) |
|
2 points by panic on Nov 10, 2017 | past
|
| | The Numerics of GANs (inference.vc) |
|
2 points by xaedes on Oct 8, 2017 | past | 1 comment
|
| | GANs are broken in more than one way: the numerics of GANs (inference.vc) |
|
3 points by mayava on Oct 6, 2017 | past
|
| | GANs Are Broken in More Than One Way: The Numerics of GANs (inference.vc) |
|
3 points by kahnjw on Oct 5, 2017 | past | 3 comments
|
| | “Everything that works works because it's Bayesian” Why Deep Nets Generalize? (inference.vc) |
|
40 points by fhuszar on May 25, 2017 | past | 5 comments
|
| | Technical Post on Forgetting in Neural Networks (inference.vc) |
|
1 point by Agrodotus on March 17, 2017 | past
|
|
|
More |