YivanZhang / lioLinks
Learning from Indirect Observations
☆10Updated 4 years ago
Alternatives and similar repositories for lio
Users that are interested in lio are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆61Updated last year
- ☆21Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆26Updated 3 years ago
- Hao-Ning / MEIDTM-Instance-Dependent-Label-Noise-Learning-with-Manifold-Regularized-Transition-Matrix-Estimatiopytorch☆10Updated 3 years ago
- ☆16Updated 3 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆11Updated 5 months ago
- Awesome-open-world-learning☆26Updated 3 years ago
- The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"☆17Updated last year
- ☆47Updated 9 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- [NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relati…☆40Updated 3 months ago
- Towards Sustainable Learning: Coresets for Data-efficient Deep Learning☆12Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆61Updated 3 years ago
- ☆16Updated 3 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- A collection of model transferability estimation methods.☆28Updated 10 months ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- ☆9Updated last year
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- Code for CVPR 2023 Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization☆13Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆16Updated this week
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆99Updated 3 years ago
- ☆40Updated 2 years ago