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Found 6 papers, 1 papers with code
EAR-Net: Pursuing End-to-End Absolute Rotations from Multi-View Images
Based on this graph, the confidence-aware rotation averaging module, which is differentiable, is explored to predict the absolute rotations.
Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments.
Social4Rec: Distilling User Preference from Social Graph for Video Recommendation in Tencent
Despite recommender systems play a key role in network content platforms, mining the user's interests is still a significant challenge.
Descriptor Distillation: a Teacher-Student-Regularized Framework for Learning Local Descriptors
This teacher-student regularizer is to constrain the difference between the positive (also negative) pair similarity from the teacher model and that from the student model, and we theoretically prove that a more effective student model could be trained by minimizing a weighted combination of the triplet loss and this regularizer, than its teacher which is trained by minimizing the triplet loss singly.
Numerical Solution of Fredholm Integral Equations of the Second Kind using Neural Network Models
The coefficients of this linear combination are served as the weights between the hidden layer and the output layer of the neural network while the mean square error between the exact solution and the approximation solution at the training set as the cost function.
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction
To address this sharing&conflict problem, we propose a novel multi-task CVR modeling scheme with neuron-connection level sharing named NCS4CVR, which can automatically and flexibly learn which neuron weights are shared or not shared without artificial experience.
