wly-2020

CVPR24-Ease

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

Awesome-Incremental-Learning-with-Pre-trained-Models

📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

llm-continual-learning-survey

Continual Learning of Large Language Models: A Comprehensive Survey

CMU10-714

Learning material for CMU10-714: Deep Learning System

CLOM

CVPR22-Fact

Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

OrCo

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning

F2M

MICS

(WACV'24) MICS: Midpoint Interpolation to Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning

FSCIL-Calibration

Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers

test-time-label-shift

Test-Time Label-Shift Adaptation

FSCIL_ALICE

SSRE

Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"

DualNet

BiDistFSCIL

Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

ELI

(CVPR 2022) Energy-based Latent Aligner for Incremental Learning

FSLL

Few-Shot Lifelong Learning

SoftNet-FSCIL

Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)

awesome-few-shot-learning

A review for latest few-shot learning works

Awesome-LongTailed-Recognition

FSCIL

[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

SAVC

[CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

CEC-CVPR2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

TEEN

The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch

DynamicCML

continual-learning-baselines

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

continual-learning-papers

Continual Learning papers list, curated by ContinualAI