Code for the paper Learning the Predictability of the Future (CVPR 2021)
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Updated
Jul 31, 2023 - Python
Code for the paper Learning the Predictability of the Future (CVPR 2021)
Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
Hyperbolic Image Segmentation, CVPR 2022
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
Taxonomy refinement method to improve domain-specific taxonomy systems.
[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
Learning Tree structures and Tree metrics
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Conformal Geometry Stonybrook 2020 final project
Improved Embedded Topic Models in Hyperbolic Space
PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
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