☆26Feb 27, 2022Updated 4 years ago
Alternatives and similar repositories for generative-invariance-transfer
Users that are interested in generative-invariance-transfer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆18Oct 12, 2022Updated 3 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 3 years ago
- ☆18May 25, 2022Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆21Jun 27, 2021Updated 5 years ago
- Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)☆11Aug 31, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆14Feb 25, 2023Updated 3 years ago
- Code for reproducing the results in "How Well do Sparse Imagenet Models Transfer?", presented at CVPR 2022☆10Jun 3, 2022Updated 4 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆80Aug 30, 2022Updated 3 years ago
- [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"☆19Oct 12, 2022Updated 3 years ago
- Few-shot Learning with Auxiliary Data☆31Dec 8, 2023Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Jun 11, 2025Updated last year
- Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".☆17Jun 10, 2022Updated 4 years ago
- Image recommendation service with image on the input that outputs most similar images from database.☆14Sep 19, 2020Updated 5 years ago
- code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆16Dec 8, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆11Oct 8, 2020Updated 5 years ago
- MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks (ICML 2023)☆11Aug 15, 2023Updated 2 years ago
- [ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning framework.☆110Dec 8, 2023Updated 2 years ago
- ☆18Nov 7, 2022Updated 3 years ago
- ☆12Dec 9, 2025Updated 7 months ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆150Apr 13, 2023Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Mar 3, 2023Updated 3 years ago
- [ECCV 2022] Tackling Long-Tailed Category Distribution Under Domain Shifts☆25Nov 29, 2022Updated 3 years ago
- Official PyTorch Implementation☆17Dec 3, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆41Aug 19, 2022Updated 3 years ago
- Extracting knowledge graphs from language models as a diagnostic benchmark of model performance (NeurIPS XAI 2021).☆25May 6, 2022Updated 4 years ago
- Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification☆28May 9, 2025Updated last year
- Mining Discriminative Components with Random Forests☆17Jun 13, 2016Updated 10 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Jun 14, 2020Updated 6 years ago
- ☆16Dec 24, 2021Updated 4 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- [ECCV2022] Dense Siamese Network for Dense Unsupervised Learning☆29Jul 21, 2022Updated 4 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆62Jul 19, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42May 2, 2021Updated 5 years ago
- Learning Debiased and Disentangled Representations for Semantic Segmentation (NeurIPS 2021)☆13Jan 23, 2022Updated 4 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Jan 3, 2023Updated 3 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆182Mar 4, 2024Updated 2 years ago
- Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".☆78Jan 18, 2023Updated 3 years ago
- Pytorch implementations of Co-teaching for noisy label learning☆13Jun 28, 2022Updated 4 years ago