• GNMT

• Referenced in 28 articles [sw26579]
• Translation (NMT) is an end-to-end learning approach for automated translation, with...

• MLlib

• Referenced in 25 articles [sw15430]
• efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization ... simplify the development of end-to-end machine learning pipelines. MLlib has experienced...

• FlowNet

• Referenced in 18 articles [sw31203]
• flow estimation can be cast as a learning problem. However, the state ... advance the concept of end-to-end learning of optical flow and make...

• ISTA-Net

• Referenced in 7 articles [sw40591]
• shrinkage thresholds, step sizes, etc.) are learned end-to-end, rather than being...

• CARLA

• Referenced in 7 articles [sw35046]
• pipeline, an end-to-end model trained via imitation learning ... end-to-end model trained via reinforcement learning. The approaches are evaluated...

• VoxelNet

• Referenced in 9 articles [sw32558]
• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. Accurate ... prediction into a single stage, end-to-end trainable deep network. Specifically, VoxelNet ... large margin. Furthermore, our network learns an effective discriminative representation of objects with various geometries...

• Attribute2Image

• Referenced in 5 articles [sw24589]
• disentangled latent variables that can be learned end-to-end using a variational ... latent variables given novel images. Therefore, the learned generative models show excellent quantitative and visual...

• SpectralNet

• Referenced in 6 articles [sw26162]
• network output orthogonal. Moreover, the map learned by SpectralNet naturally generalizes the spectral embedding ... standard autoencoders. Our end-to-end learning procedure is fully unsupervised. In addition...

• TopicRNN

• Referenced in 3 articles [sw36211]
• language modeling, our model is learned end-to-end. Empirical results on word...

• Deep Speech

• Referenced in 6 articles [sw40429]
• recognition system developed using end-to-end deep learning. Our architecture is significantly...

• UnFlow

• Referenced in 3 articles [sw38831]
• end-to-end deep learning, many advances in computer vision are driven ... thus such data is rare. Therefore, recent end-to-end convolutional networks...

• Pixel2Mesh

• Referenced in 4 articles [sw31205]
• Images. We propose an end-to-end deep learning architecture that produces...

• CompressAI

• Referenced in 1 article [sw35820]
• research, develop and evaluate end-to-end image and video compression codecs ... trained models and evaluation tools to compare learned methods with traditional codecs. Multiple models from ... state-of-the-art on learned end-to-end compression have thus been...

• DeepFM

• Referenced in 2 articles [sw41629]
• Machine based Neural Network for CTR Prediction. Learning sophisticated feature interactions behind user behaviors ... possible to derive an end-to-end learning model that emphasizes both...

• Horizon

• Referenced in 6 articles [sw31157]
• platform. Horizon is an end-to-end platform designed to solve industry applied ... showcase and describe real examples where reinforcement learning models trained with Horizon significantly outperformed...

• VAMPnets

• Referenced in 19 articles [sw32927]
• Markov processes (VAMP) to develop a deep learning framework for molecular kinetics using neural networks ... data processing pipeline in a single end-to-end framework. Our method performs...

• gvnn

• Referenced in 1 article [sw31211]
• between classic geometric computer vision and deep learning. Inspired by the recent success of Spatial ... allow backpropagation to enable end-to-end learning of a network involving ... recognition, end-to-end visual odometry, depth estimation and unsupervised learning through warping...

• V-Net

• Referenced in 7 articles [sw35860]
• trained end-to-end on MRI volumes depicting prostate, and learns to predict...

• Avalanche

• Referenced in 1 article [sw37986]
• Avalanche: an End-to-End Library for Continual Learning. Learning continually from ... learning. Recently, we have witnessed a renewed and fast-growing interest in continual learning, especially ... within the deep learning community. However, algorithmic solutions are often difficult to re-implement, evaluate ... open-source end-to-end library for continual learning research based on PyTorch...

• TasNet

• Referenced in 2 articles [sw31221]
• network (Conv-TasNet), a deep learning framework for end-to-end time-domain...