The problem of measuring nontrivial static correlations in deeply supercooled liquids made recently some progress thanks to the introduction of amorphous boundary conditions, in which a set of free particles is subject to the effect of a different se...
As the density of spacecraft in Earth's orbit increases, their recognition, pose and trajectory identification becomes crucial for averting potential collisions and executing debris removal operations. However, training models able to identify a spac...
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interpret deep learning models in a framework-independent fashion (⭐ 41)
Dedication is a noun that refers to the quality or state of being deeply committed, devoted, or loyal to a task, purpose, person, or cause. It implies a consistent, intentional focus paired with emotional or …
We use the nouns length, width, depth and height and the adjectives long, wide, deep and high to talk about area and size: … We use the verb weigh to measure weight: … We use many different …
this, Hachimaki resolves to join the Mission and gets over his Deep Space Disorder. Werner Locksmith finds Hachimaki while looking for Hachimaki's father
Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding (⭐ 31)
Take a deep dive into DevOps, the organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software...
Since 1984, Yardi has grown into the leading provider of high-performance software for the real estate industry. With over 9,000 professionals in more than 40 offices worldwide, we combine deep industry …
While deep reinforcement learning (RL) agents have demonstrated incredible potential in attaining dexterous behaviours for robotics, they tend to make errors when deployed in the real world due to mismatches between the training and execution environ...
Recent remarkable success in the deep-learning industries has unprecedentedly increased the need for reliable model deployment. For example, the model should alert the user if the produced model outputs might not be reliable. Previous studies have pr...
Although artificial intelligence (AI) has become deeply integrated into various stages of the research workflow and achieved remarkable advancements, academic rebuttal remains a significant and underexplored challenge. This is because rebuttal is a c...
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The deep nitrogen-covered Sputnik Planitia (SP; informal name) basin on Pluto is located very close to the longitude of Pluto's tidal axis[1] and may be an impact feature [2], by analogy with other large basins in the solar system[3,4]. Reorientation...
Residual networks (Resnets) have become a prominent architecture in deep learning. However, a comprehensive understanding of Resnets is still a topic of ongoing research. A recent view argues that Resnets perform iterative refinement of features. W...
Deep neural networks (DNNs) have achieved state-of-the-art results in various pattern recognition tasks. However, they perform poorly on out-of-distribution adversarial examples i.e. inputs that are specifically crafted by an adversary to cause DNNs...
The fastai deep learning library (⭐ 27888)