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Found 11 papers, 7 papers with code
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Although text-to-image diffusion models have made significant strides in generating images from text, they are sometimes more inclined to generate images like the data on which the model was trained rather than the provided text.
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification
Deep learning models achieve state-of-the art results in predicting blood glucose trajectories, with a wide range of architectures being proposed.
Bayesian Graph Contrastive Learning
By learning distributional representations, we provide uncertainty estimates in downstream graph analytics tasks and increase the expressive power of the predictive model.
Convex Polytope Trees and its Application to VAE
The splitting function at each node of CPT is based on the logical disjunction of a community of differently weighted probabilistic linear decision-makers, which also geometrically corresponds to a convex polytope in the covariate space.
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition
With recent advances in speech synthesis, synthetic data is becoming a viable alternative to real data for training speech recognition models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Deep Spatio-Temporal Wind Power Forecasting
In this paper, we develop a deep learning approach based on encoder-decoder structure.
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
To develop a better deep model for blood glucose forecasting, we analyze the data and detect important patterns.
Partition-Guided GANs
We formulate two desired criteria for the space partitioner that aid the training of our mixture of generators: 1) to produce connected partitions and 2) provide a proxy of distance between partitions and data samples, along with a direction for reducing that distance.
Ranked #13 on
Image Generation
on STL-10
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
In particular, the task of temporal link prediction.
Convex Polytope Trees
The splitting function at each node of CPT is based on the logical disjunction of a community of differently weighted probabilistic linear decision-makers, which also geometrically corresponds to a convex polytope in the covariate space.
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Despite the importance of inductive link prediction, most previous works focused on transductive link prediction and cannot manage previously unseen entities.
Ranked #16 on
Link Prediction
on WN18RR
Inductive knowledge graph completion
Inductive Link Prediction
+1
