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Found 13 papers, 1 papers with code
Generating Redstone Style Cities in Minecraft
Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real world.
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
Large-scale pre-trained vision-language models allow for the zero-shot text-based generation of 3D avatars.
Shuffled Autoregression For Motion Interpolation
However, motion interpolation is a more complex problem that takes isolated poses (e. g., only one start pose and one end pose) as input.
Optimal Estimates for Pairwise Learning with Deep ReLU Networks
Pairwise learning refers to learning tasks where a loss takes a pair of samples into consideration.
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
In recent years, on-device deep learning has gained attention as a means of developing affordable deep learning applications for mobile devices.
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps
In particular, our attack could influence the performance and latency of the model without affecting the operation of a DL app.
On Robustness of Neural Semantic Parsers
In this paper, we provide the empirical study on the robustness of semantic parsers in the presence of adversarial attacks.
Few-Shot Semantic Parsing for New Predicates
In this work, we investigate the problems of semantic parsing in a few-shot learning setting.
Data-driven design of a new class of rare-earth free permanent magnets
From magnetization measurements a saturation polarization of 0. 86 T at 10 K was detected, together with a uniaxial magnetocrystalline anisotropy constant of 1. 18 MJ/m$^3$, and the Curie temperature of $T_{\rm C}$ = 359 K. These magnetic properties make Co$_3$Mn$_2$Ge a very promising material as a rare-earth free permanent magnet, and since we can demonstrate that magnetism depends critically on the amount of disorder of the Co and Ge atoms, a further improvement of the magnetism is possible.
Materials Science
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Deep learning based on deep neural networks of various structures and architectures has been powerful in many practical applications, but it lacks enough theoretical verifications.
Simulation of Skin Stretching around the Forehead Wrinkles in Rhytidectomy
Finally, the stress distribution and the residual wrinkles of forehead skin were employed to evaluate the surgical effect.
A Total Variation Denoising Method Based on Median Filter and Phase Consistency
The total variation method is widely used in image noise suppression.
Non-rigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
The non-rigid registration between CT data and ultrasonic images of liver can facilitate the diagnosis and treatment, which has been widely studied in recent years.
