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Incremental Learning

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평가표: 22
보존된 평가 기록: 112

Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/linlany/rapf

공식 코드

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

https://github.com/liuh127/FSCIL-via-Entropy-regularized-DF-Replay

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Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

https://github.com/liuyuchen-cz/f-oal

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F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning

https://github.com/lloongx/diki

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Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models

https://github.com/lofrienger/single_surgicalscene_for_segmentation

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Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

https://github.com/lsabetta/mind

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MIND: Multi-Task Incremental Network Distillation

https://github.com/lttm/cl-pcss

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Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data

https://github.com/lxycopper/plu

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Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector

https://github.com/lyanna4869/InfRS

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InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images

https://github.com/lykaust15/SupportNet

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SupportNet: solving catastrophic forgetting in class incremental learning with support data

https://github.com/lywang3081/MRDC

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Memory Replay with Data Compression for Continual Learning

https://github.com/lywang3081/TMNs

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Triple Memory Networks: a Brain-Inspired Method for Continual Learning

https://github.com/lzvv123456/contrastive-prototypical-prompt

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Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning

https://github.com/lzvv123456/steering-prototypes-with-prompt-tuning-for-rehearsal-free-continual-learning

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Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning

https://github.com/machinelearningbcam/imrcs-for-incremental-learning-neurips-2023

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Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

https://github.com/mala-lab/opencil

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OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning

https://github.com/mala-lab/tpp

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Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

https://github.com/malwarereplaygan/malcl

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MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification

https://github.com/manoja328/rodeo

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RODEO: Replay for Online Object Detection

https://github.com/maruiperfect/silf

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Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment

https://github.com/mattdl/DUA

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Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem

https://github.com/mattdl/continualevaluation

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Continual evaluation for lifelong learning: Identifying the stability gap

https://github.com/mayyoy/rppgdil

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Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference

https://github.com/megamindhenry/judiling.jl

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How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning

https://github.com/menelaoskanakis/RCM

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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference

https://github.com/michaelsargious/adaptoml_ux

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AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers

https://github.com/michalzajac-ml/pec

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Prediction Error-based Classification for Class-Incremental Learning

https://github.com/miladkhademinori/class-incremental-learning

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Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings

https://github.com/mit-ll/lorax_cil

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LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution

https://github.com/ml4ai/fed-recon

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Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning

https://github.com/mmasana/FACIL

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Class-incremental learning: survey and performance evaluation on image classification

https://github.com/mmderakhshani/lifelonger

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LifeLonger: A Benchmark for Continual Disease Classification

https://github.com/mmvv11/GraphSAIL

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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems

https://github.com/moonjunyyy/si-blurry

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Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning

https://github.com/moukamisama/f2m

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Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

https://github.com/msrocean/continual-learning-malware

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On the Limitations of Continual Learning for Malware Classification

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