valid
884 papers with code • 0 benchmarks • 0 datasets
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Use these libraries to find valid models and implementationsMost implemented papers
Image Inpainting for Irregular Holes Using Partial Convolutions
NVIDIA/partialconv
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ECCV 2018
Existing deep learning based image inpainting methods use a standard convolutional network over the corrupted image, using convolutional filter responses conditioned on both valid pixels as well as the substitute values in the masked holes (typically the mean value).
Free-Form Image Inpainting with Gated Convolution
JiahuiYu/generative_inpainting
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ICCV 2019
We present a generative image inpainting system to complete images with free-form mask and guidance.
Using the Output Embedding to Improve Language Models
ofirpress/UsingTheOutputEmbedding
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EACL 2017
We study the topmost weight matrix of neural network language models.
MolGAN: An implicit generative model for small molecular graphs
Deep generative models for graph-structured data offer a new angle on the problem of chemical synthesis: by optimizing differentiable models that directly generate molecular graphs, it is possible to side-step expensive search procedures in the discrete and vast space of chemical structures.
The Double Sphere Camera Model
We evaluate the model using a calibration dataset with several different lenses and compare the models using the metrics that are relevant for Visual Odometry, i. e., reprojection error, as well as computation time for projection and unprojection functions and their Jacobians.
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
shehzaadzd/MINERVA
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ICLR 2018
Knowledge bases (KB), both automatically and manually constructed, are often incomplete --- many valid facts can be inferred from the KB by synthesizing existing information.
Phase-aware Speech Enhancement with Deep Complex U-Net
AppleHolic/source_separation
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ICLR 2019
Most deep learning-based models for speech enhancement have mainly focused on estimating the magnitude of spectrogram while reusing the phase from noisy speech for reconstruction.
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Many scientific and engineering challenges -- ranging from personalized medicine to customized marketing recommendations -- require an understanding of treatment effect heterogeneity.
Multi-Task Learning as Multi-Objective Optimization
IntelVCL/MultiObjectiveOptimization
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NeurIPS 2018
These algorithms are not directly applicable to large-scale learning problems since they scale poorly with the dimensionality of the gradients and the number of tasks.
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Conversations have an intrinsic one-to-many property, which means that multiple responses can be appropriate for the same dialog context.
