What I Learned About Mattresses
A few days ago, I posted a discussion on "What I learned about couches", I joked about also researching mattresses, and people started requesting I share my thoughts and research on mattresses. So I...
adam-p/yesterday-i-learned
Brainfarts are caused by the rupturing of the cerebral sphincter. (⭐ 11)
What I learned as a hired consultant to autodidact physicists (2016)
Points: 765 | Comments: 396 | Author: raattgift
What I Learned Burning $14k on YouTube Ads for Candy Japan
Points: 554 | Comments: 243 | Author: jbardnz
Today I learned about the strange act of 'figging'. : r ... - Reddit
Aug 3, 2009 · Today I wish I hadn't learned about the strange act of figging. Seriously, that's some fucked up shit.
Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electric…
The limited size of pain datasets are a challenge in developing robust deep learning models for pain recognition. Transfer learning approaches are often employed in these scenarios. In this study, we investigate whether deep learned feature represent...
What One Lession You Learned from Jerry?
What i Learned is that There's a Beauty and solace in being Simple and Doing simple things....
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
This document provides a brief introduction to learned automated planning problem where the state transition function is in the form of a binarized neural network (BNN), presents a general MaxSAT encoding for this problem, and describes the four doma...
Can Learned Frame-Prediction Compete with Block-Motion Compensation for Video Coding?
Given recent advances in learned video prediction, we investigate whether a simple video codec using a pre-trained deep model for next frame prediction based on previously encoded/decoded frames without sending any motion side information can compete...
Explanatory machine learning for sequential human teaching
The topic of comprehensibility of machine-learned theories has recently drawn increasing attention. Inductive Logic Programming (ILP) uses logic programming to derive logic theories from small data based on abduction and induction techniques. Learned...
Lessons learned from the TMT site testing campaign
After a site testing campaign spanning 5 sites over a period of 5 years, the site selection for the Thirty Meter Telescope (TMT) culminated with the choice of Mauna Kea 13N in Hawaii. During the campaign, a lot practical lessons were learned by our t...
Just Got Back from Korea and Japan! Big Picture things I learned
It was a wonderful trip! Ten days in each country with my wife and 13 year old son. I want to provide just some basic things we learned and thought worked well. Itinerary in Korea 5 Days in Seoul, 2...
AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation
Cardinality estimation (CE) plays a crucial role in many database-related tasks such as query generation, cost estimation, and join ordering. Lately, we have witnessed the emergence of numerous learned CE models. However, no single CE model is invinc...
Things I Learned From Founding Technology Companies
Points: 420 | Comments: 44 | Author: kbouw
BRPO: Batch Residual Policy Optimization
In batch reinforcement learning (RL), one often constrains a learned policy to be close to the behavior (data-generating) policy, e.g., by constraining the learned action distribution to differ from the behavior policy by some maximum degree that is...
Learned Clause Minimization in Parallel SAT Solvers
Learned clauses minimization (LCM) let to performance improvements of modern SAT solvers especially in solving hard SAT instances. Despite the success of LCM approaches in sequential solvers, they are not widely incorporated in parallel SAT solvers....
What is the most interesting thing you have learned about being left handed?
I learned that in some cultures the left hand is the dirty hand, it is used to wipe after using the bathroom so it is seen as disrespectful to use the left hand to eat or shake hands, etc Also, I’m...
LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Sig…
This paper introduces the Learned User Significance Tracker (LUST), a framework designed to analyze video content and quantify the thematic relevance of its segments in relation to a user-provided textual description of significance. LUST leverages a...
What I’ve Learned in 45 Years in the Software Industry
Points: 1270 | Comments: 354 | Author: FauxDemure
Things I Learned from a Job Hunt for a Senior Engineering Role
Points: 772 | Comments: 741 | Author: fuzzygroup