Resource of free step by step video how to guides to get you started with machine learning.
Tuesday, August 18, 2020
[Rant] REVIEWER #2: How Peer Review is FAILING in Machine Learning
#ai #research #peerreview Machine Learning research is in dire straits as more people flood into the field and competent reviewers are scarce and overloaded. This video takes a look at the incentive structures behind the current system and describes how they create a negative feedback loop. In the end, I'll go through some proposed solutions and add my own thoughts. OUTLINE: 0:00 - Intro 1:05 - The ML Boom 3:10 - Author Incentives 7:00 - Conference Incentives 8:00 - Reviewer Incentives 13:10 - Proposed Solutions 17:20 - A Better Solution 23:50 - The Road Ahead Sources: https://ift.tt/3aLZlfP https://ift.tt/2YaeOkH https://ift.tt/31ZMDWA https://ift.tt/2Y8ySUf https://ift.tt/2Q06C1X https://ift.tt/2Yb8byw https://ift.tt/2YaeOkH https://ift.tt/2Y7Ny6c https://ift.tt/2CB5BKs https://ift.tt/2Zq0kfW https://ift.tt/346SFaJ https://ift.tt/1OQp2ts https://twitter.com/tdietterich/status/1292217162103316481 https://ift.tt/2CHF9z2 Links: YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
Subscribe to:
Post Comments (Atom)
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
Quick answer: Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k-token context — a used 24 GB card like the RTX 3090 is the minimu...
-
Inside TensorFlow: Summaries and TensorBoard [Collection] Take an inside look into the TensorFlow team’s own internal training sessions-...
-
Hey everyone This is Ujjwal kapil B.tech 2nd year Ai and Ml In this video we covered one of the most important question "COLLEGE KAB O...
-
Quick answer: DeepSeek V4 Flash is a Mixture-of-Experts model: all 284 billion parameters must be stored, so combined RAM plus VRAM — not ...
-
This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Grad...
-
In this video, you'll learn how to use machine learning, computer vision and deep learning to create a football analysis system. This pr...
-
Quick answer: For most learners, the best single machine learning book is Hands-On Machine Learning with Scikit-Learn, Keras & Tensor...
-
#minecraft #neuralnetwork #backpropagation I built an analog neural network in vanilla Minecraft without any mods or command blocks. The n...
-
Quick answer: For an 8B model at Q4, local electricity costs roughly $0.05 per million output tokens — against about $0.53 per million ble...
No comments:
Post a Comment