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An Numpy and PyTorch Implementation of CKA-similarity with CUDA support

(ECCV2024) Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery (TextGCD)

[CVPR'24] Solving the Catastrophic Forgetting Problem in Generalized Category Discovery https://arxiv.org/pdf/2501.05272

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery - ECCV 2024 paper

A list of papers that studies Novel Class Discovery

Official code for NeurIPS 2024 paper "Happy: A Debiased Learning Framework for Continual Generalized Category Discovery"

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)

An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Official implementation for "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"

《动手学大模型Dive into LLMs》系列编程实践教程

Code for "Unsupervised Hyperbolic Metric Learning" in CVPR 2021.

The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.

Official implementation of paper "Catastrophic Forgetting in Continual Concept Bottleneck Models"

Repository for Neurips 2023 paper - Auxiliary Losses for Learning Generalizable Concept-based Model

A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…

The official implementation of the paper **Learning Concise and Descriptive Attributes for Visual Recognition**

Official code for "Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks" (CVPR2022)

CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Curated list of project-based tutorials

西瓜书南瓜书学习的相关资料

PyCIL: A Python Toolbox for Class-Incremental Learning