☆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
- ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…☆26Oct 13, 2021Updated 4 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 3 years ago
- ☆18May 25, 2022Updated 4 years ago
- official repo for `thinking with images through-self-calling`☆25Dec 28, 2025Updated 6 months 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.
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆20Jun 27, 2021Updated 5 years ago
- Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)☆11Aug 31, 2021Updated 4 years ago
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆14Feb 25, 2023Updated 3 years ago
- IPO: Interpretable Prompt Optimization for Vision-Language Models(NeurIPS 2024)☆15Jun 12, 2026Updated 3 weeks ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆80Aug 30, 2022Updated 3 years ago
- Official implementation of "Multi-scale Feature Learning Dynamics: Insights for Double Descent".☆17Jun 10, 2022Updated 4 years ago
- Few-shot Learning with Auxiliary Data☆31Dec 8, 2023Updated 2 years ago
- ☆18Nov 7, 2022Updated 3 years ago
- ☆12Dec 9, 2025Updated 6 months 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.
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Apr 18, 2024Updated 2 years ago
- HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)☆22Jan 19, 2023Updated 3 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
- Released Code for ACL 21 paper: DocOIE A Document-level Context-Aware Dataset for OpenIE☆15Nov 25, 2022Updated 3 years ago
- [ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement☆20Aug 18, 2021Updated 4 years ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆150Apr 13, 2023Updated 3 years ago
- Interview-based evaluation of LLMs☆30May 21, 2026Updated last month
- Official PyTorch Implementation☆17Dec 3, 2022Updated 3 years ago
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆41Aug 19, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- OpenConstruction project☆15Feb 14, 2023Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Sep 25, 2024Updated last year
- ☆16Dec 24, 2021Updated 4 years ago
- [ECCV2022] Dense Siamese Network for Dense Unsupervised Learning☆29Jul 21, 2022Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42May 2, 2021Updated 5 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
- Learning Debiased and Disentangled Representations for Semantic Segmentation (NeurIPS 2021)☆13Jan 23, 2022Updated 4 years ago
- Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes☆23Jun 14, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆182Mar 4, 2024Updated 2 years ago
- Adversarial Augmentation Against Adversarial Attacks☆32May 23, 2023Updated 3 years ago
- Pytorch implementations of Co-teaching for noisy label learning☆13Jun 28, 2022Updated 4 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆62Jul 19, 2022Updated 3 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Jan 23, 2018Updated 8 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- ☆12Jul 16, 2024Updated last year