jh-jeong / smoothing-multiscale
Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
☆11Updated 4 months ago
Related projects: ⓘ
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆13Updated last year
- Visual Representation Learning with Stochastic Frame Prediction (ICML 2024)☆16Updated 3 months ago
- Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)☆24Updated 11 months ago
- CatMAE☆12Updated 9 months ago
- Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023☆24Updated 11 months ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Updated last year
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…☆16Updated last year
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆23Updated last year
- Contrastive self-supervised learning using Rényi divergence☆12Updated last year
- ☆12Updated 2 years ago
- Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…☆18Updated 10 months ago
- Test-Time Distribution Normalization For Contrastively Learned Vision-language Models☆25Updated 8 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆25Updated last month
- ☆13Updated last month
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆11Updated 3 months ago
- Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)☆11Updated 3 years ago
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆22Updated last month
- ☆15Updated last year
- ☆12Updated last year
- ☆53Updated 11 months ago
- ☆17Updated 4 months ago
- Visual Instruction-guided Explainable Metric. Code for "Towards Explainable Metrics for Conditional Image Synthesis Evaluation" (ACL 2024…☆22Updated last month
- ☆22Updated last year
- ☆30Updated 3 months ago
- Source code for "A Dense Reward View on Aligning Text-to-Image Diffusion with Preference" (ICML'24).☆26Updated 4 months ago
- ☆20Updated last year
- Elucidating The Design Space of Classifier-Guided Diffusion Generation☆21Updated 8 months ago
- ☆21Updated last year
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆13Updated last year
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆43Updated last year