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Mixed Integer Programming (MIP) solvers rely on an array of sophisticated heuristics developed with decades of research to solve large-scale MIP instances encountered in practice. Machine learning offers to automatically construct better heuristics f...
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Virtually all extragalactic use cases of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require the use of galaxy redshift information, yet the vast majority of its sample of tens of billions of galaxies will lack high-fidelit...
Socks are produced and replaced at a massive scale, yet their paired use makes them unusually vulnerable to waste, as the loss of a single sock can strand usable wear-capacity and trigger premature replacement. In this study, we quantify the economic...
This paper proposed a new method to build the large scale DNA sequences search system based on web search engine technology. We give a very brief introduction for the methods used in search engine first. Then how to build a DNA search system like Goo...
We consider imitation learning in the low-data regime, where only a limited number of expert demonstrations are available. In this setting, methods that rely on large-scale pretraining or high-capacity architectures can be difficult to apply, and eff...
The adiabatic perturbation of dark matter is damped during the kinetic decoupling due to the collision with relativistic component on sub-horizon scales. However the isocurvature part is free from damping and could be large enough to make a substanti...
Users can search for any dog breed and instantly see a list of attributes (barking, energy, shedding, trainability) rated on a scale of 1-5. The available dogs of that breed for adoption are displayed below the search input. (⭐ 1)
This repository is dedicated to the author's course work on the DA-IICT course CS301: High Performance Computing. Today, nearly all computing systems including mobile phones, laptops, desktops, supercomputers, and large-scale data centers are being built using…
This repository is dedicated to my course work on the DA-IICT course CS301: High Performance Computing. This repository contains three directories, namely Lab\ Work/ which is my collection of Lab Submissions undertaken as part of the course; 'High-Dimensional-…
DORAEMON is an open-source PyTorch library that unifies visual object modeling and representation learning across diverse scales. A single YAML-driven workflow covers classification, retrieval and metric learning; more than 1000 pretrained backbones...
3D scene understanding, e.g., point cloud semantic and instance segmentation, often requires large-scale annotated training data, but clearly, point-wise labels are too tedious to prepare. While some recent methods propose to train a 3D network with...
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Over the past years, the main research innovations in face recognition focused on training deep neural networks on large-scale identity-labeled datasets using variations of multi-class classification losses. However, many of these datasets are retrea...
We present a global fit of Drell-Yan, top-quark and beauty-physics data in the Standard Model Effective Field Theory framework using the Minimal Flavor Violation ansatz for the quark-flavor structure. The different energy scales are thereby connected...
In this work, we revisit linguistic acceptability in the context of large language models. We introduce CoLAC - Corpus of Linguistic Acceptability in Chinese, the first large-scale acceptability dataset for a non-Indo-European language. It is verifie...
To put this to scale: if the start of the runway at JFK Airport was Earth and the nearest star Los Angeles, Voyager I would be just over halfway across the runway. That's about the growth speed of bam...
Hi everyone! This is my first large-scale metro map, and it is based on my fictional city, Pinot. I spent a lot of time making it, so I hope you enjoy. Please give feedback and share your thoughts :D ...
Large sets of matter density simulations are becoming increasingly important in large-scale structure cosmology. Matter power spectra emulators, such as the Euclid Emulator and CosmicEmu, are trained on simulations to correct the non-linear part of t...