JngwenYe / LIRF
Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
☆21Updated 2 years ago
Alternatives and similar repositories for LIRF:
Users that are interested in LIRF are comparing it to the libraries listed below
- Code for CVPR 2024 Oral "Neural Lineage"☆16Updated 9 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- (CVPR 2024) "Unsegment Anything by Simulating Deformation"☆27Updated 9 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆34Updated 2 years ago
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆19Updated 3 months ago
- ☆38Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- ☆42Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 8 months ago
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆46Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆39Updated 10 months ago
- an official PyTorch implementation of the paper "Partial Network Cloning", CVPR 2023☆13Updated last year
- [ICML2022] "Identity-Disentangled Adversarial Augmentation for Self-Supervised Learning"☆10Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆38Updated last year
- ☆20Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆19Updated 5 months ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆36Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆17Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆55Updated last year
- ☆19Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆64Updated 2 years ago
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- [CVPR 2024 Highlight] ImageNet-D☆41Updated 5 months ago
- Adapting LLaMA Decoder to Vision Transformer☆27Updated 9 months ago
- MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation☆25Updated last year
- Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)☆32Updated last year
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆58Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆81Updated last year