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Found 13 papers, 6 papers with code
Simple Rule Injection for ComplEx Embeddings
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge.
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.
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.
EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.
Ranked #3 on
KG-to-Text Generation
on EventNarrative
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 #9 on
Image Generation
on STL-10
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
In particular, the task of temporal link prediction.
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 #15 on
Link Prediction
on WN18RR
Inductive knowledge graph completion
Inductive Link Prediction
+1
Measuring Impact of Climate Change on Tree Species: analysis of JSDM on FIA data
In this study tree species interaction and the response to climate in different ecological environments is observed by applying a joint species distribution model to different ecological domains in the United States.
Populations and Evolution
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
We propose a neural network architecture for learning vector representations of hotels.
Mining Rules Incrementally over Large Knowledge Bases
To the best of our knowledge, our incremental rule mining system is the first that handles updates to web-scale knowledge bases.
Automatic Target Recognition Using Discrimination Based on Optimal Transport
The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra.
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Whereas, the social attention component aggregates information across the different agent interactions and extracts the most important trajectory information from the surrounding neighbors.
Ranked #4 on
Trajectory Prediction
on Stanford Drone
(ADE (8/12) @K=5 metric)
Energy-aware adaptive bi-Lipschitz embeddings
We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows.
