HSG-AIML / NeurIPS_2022-Generative_Hyper_RepresentationsLinks
Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".
☆17Updated last year
Alternatives and similar repositories for NeurIPS_2022-Generative_Hyper_Representations
Users that are interested in NeurIPS_2022-Generative_Hyper_Representations are comparing it to the libraries listed below
Sorting:
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆29Updated last year
- Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.☆22Updated 4 years ago
- Official Code Repository for the paper "Continuous Diffusion Model for Language Modeling" (NeurIPS 2025).☆47Updated last month
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆21Updated last year
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- The official repo of continuous speculative decoding☆30Updated 7 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆32Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)☆16Updated 11 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆81Updated last year
- Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…☆103Updated last week
- ☆35Updated 2 years ago
- Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure (NeurIPS 2024) + Arithmetic Transfor…☆11Updated 2 weeks ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated last year
- Official implementation for Sparse MetA-Tuning (SMAT)☆18Updated 3 months ago
- Official Implementation for PlugIn Inversion☆16Updated 4 years ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆13Updated 8 months ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆39Updated last year
- ☆19Updated 9 months ago
- NF-Layers for constructing neural functionals.☆91Updated last year
- Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025☆31Updated 6 months ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆31Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆71Updated 6 months ago
- ☆24Updated 4 months ago
- ☆34Updated 5 months ago