Official PyTorch implementation of "A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning"
☆28Oct 12, 2022Updated 3 years ago
Alternatives and similar repositories for RoWN
Users that are interested in RoWN are comparing it to the libraries listed below
Sorting:
- Meta-Learned Self-Supervised Detection☆21May 15, 2022Updated 3 years ago
- [AAAI 2023] Official implementation of 'Anonymization for Skeleton Action Recognition'☆29Dec 29, 2022Updated 3 years ago
- [CIKM'23] Test Time Embedding Normalization for Popularity Bias Mitigation☆13Jan 9, 2024Updated 2 years ago
- Official PyTorch implementation of "Hyperbolic VAE via Latent Gaussian Distributions"☆23Oct 26, 2023Updated 2 years ago
- ☆12Feb 26, 2024Updated 2 years ago
- [ICCV 2025] Official implementation of "Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlea…☆22Jan 2, 2026Updated 2 months ago
- ☆22Sep 13, 2023Updated 2 years ago
- Hyperparameter search and metric visualization tool for personal research.☆17Updated this week
- ☆15Mar 21, 2024Updated last year
- Graph generation with K2-trees (ICLR 2024)☆12Mar 19, 2024Updated 2 years ago
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆22Mar 19, 2024Updated 2 years ago
- ☆36Jan 10, 2024Updated 2 years ago
- ☆11Jul 4, 2024Updated last year
- [ICCV 2023 Oral] Official implementation of "Robust Evaluation of Diffusion-Based Adversarial Purification"☆25Dec 3, 2023Updated 2 years ago
- Active Label Correction for Semantic Segmentation with Foundation Models☆19Jan 31, 2025Updated last year
- ☆17Nov 10, 2025Updated 4 months ago
- [UAI 2025] Official code for reproducing paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"☆19May 14, 2025Updated 10 months ago
- ☆28Feb 21, 2025Updated last year
- [AAAI 2024] Binding-Adaptive Diffusion Models for Structure-Based Drug Design☆20Mar 31, 2024Updated last year
- Learning from Indirect Observations☆11Jul 16, 2021Updated 4 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 4 years ago
- ☆10Jul 29, 2022Updated 3 years ago
- ☆16Sep 22, 2021Updated 4 years ago
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Mar 8, 2019Updated 7 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 5 years ago
- ☆13Mar 7, 2022Updated 4 years ago
- Implementation of Implicit Graphon Neural Representation☆12Sep 1, 2023Updated 2 years ago
- Adaptive Subgoal Search☆20Apr 3, 2023Updated 2 years ago
- evently: simulation, fitting of Hawkes processes☆16Jan 22, 2023Updated 3 years ago
- [CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"☆19Jan 23, 2024Updated 2 years ago
- Activity Grammars for Temporal Action Segmentation (NeurIPS 2023)☆14Jun 14, 2024Updated last year
- Official repository of Brick-by-Brick, presented at NeurIPS-2021☆15May 11, 2022Updated 3 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆31Apr 11, 2023Updated 2 years ago
- ☆18Jan 17, 2022Updated 4 years ago
- ☆26Mar 17, 2025Updated last year
- ☆27Mar 21, 2024Updated last year
- ☆20Jan 31, 2022Updated 4 years ago
- [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents☆40May 2, 2024Updated last year
- Code for NeurIPS 2023 paper "Non-autoregressive Machine Translation with Probabilistic Context-free Grammar".☆12Jan 4, 2024Updated 2 years ago