SCUT-AILab / Next-Generation-AI-awesome
An up-to-date list of progress made in next-generation AI.
☆11Updated last year
Alternatives and similar repositories for Next-Generation-AI-awesome:
Users that are interested in Next-Generation-AI-awesome are comparing it to the libraries listed below
- This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR20…☆40Updated 6 months ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆37Updated 4 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆79Updated 3 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆75Updated 4 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆132Updated 5 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆63Updated 6 months ago
- ☆88Updated last year
- ☆51Updated 2 years ago
- This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel…☆222Updated 2 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆41Updated 6 months ago
- Instruction Tuning in Continual Learning paradigm☆39Updated 2 weeks ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆188Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆113Updated last year
- ☆17Updated 10 months ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆172Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆51Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆94Updated 4 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆126Updated 3 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆43Updated last week
- ☆62Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆52Updated 2 years ago
- [ICLR 24 Oral/Outstanding Paper Honorable Mention Award 🎉]☆30Updated 10 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆69Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆52Updated last year
- ☆28Updated last year
- ☆26Updated 5 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆60Updated 4 months ago