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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/facebookresearch/agem

공식 코드

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

https://github.com/fagp/sinkhorn-rebasin

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Re-basin via implicit Sinkhorn differentiation

https://github.com/fang-d/air

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AIR: Analytic Imbalance Rectifier for Continual Learning

https://github.com/fantasy-shaw/h-stformer

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Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction

https://github.com/fanxiaohong/Nest-DGIL

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Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction

https://github.com/fcdl94/fss

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Prototype-based Incremental Few-Shot Semantic Segmentation

https://github.com/fcdl94/mma

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Modeling Missing Annotations for Incremental Learning in Object Detection

https://github.com/fcdl94/wilson

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Incremental Learning in Semantic Segmentation from Image Labels

https://github.com/ferdinandzju/iap

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IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting

https://github.com/feyzaakyurek/subspace-reg

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Subspace Regularizers for Few-Shot Class Incremental Learning

https://github.com/firatozdemir/LwfSeg-AeiSeg

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Extending Pretrained Segmentation Networks with Additional Anatomical Structures

https://github.com/fischer-tom/inemo

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iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning

https://github.com/flak300S/emnlp2020_CNE-net

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A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis

https://github.com/foolwood/DaSiamRPN

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Distractor-aware Siamese Networks for Visual Object Tracking

https://github.com/foreverps/incrementalvhd_gpe

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Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

https://github.com/fszatkowski/cl-teacher-adaptation

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Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning

https://github.com/ftraeuble/experiments_discrete_key_value_bottleneck

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Discrete Key-Value Bottleneck

https://github.com/fulin-gao/opengcd

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OpenGCD: Assisting Open World Recognition with Generalized Category Discovery

https://github.com/fwu11/macil

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Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning

https://github.com/g-u-n/pycil

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PyCIL: A Python Toolbox for Class-Incremental Learning

https://github.com/gauthamvasan/avg

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Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

https://github.com/gawainxu/openincremen

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OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning

https://github.com/geokarant/incsar

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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition

https://github.com/ghy0501/pilora

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PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning

https://github.com/giparisi/GDM

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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

https://github.com/gmum/icicle

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ICICLE: Interpretable Class Incremental Continual Learning

https://github.com/golosio/annabell

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A cognitive neural architecture able to learn and communicate through natural language

https://github.com/gregoirepetit/fetril

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FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning

https://github.com/grypesc/adagauss

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Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning

https://github.com/grypesc/camp

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Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

https://github.com/grypesc/seed

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Divide and not forget: Ensemble of selectively trained experts in Continual Learning

https://github.com/gydpku/gsa

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Dealing with Cross-Task Class Discrimination in Online Continual Learning

https://github.com/habibslim/dkt-for-cil

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Dataset Knowledge Transfer for Class-Incremental Learning without Memory

https://github.com/haiv-lab/ssiat

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Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

https://github.com/halolimat/SpExtor

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A Practical Incremental Learning Framework For Sparse Entity Extraction

https://github.com/hamedhemati/cir

공식 코드

Class-Incremental Learning with Repetition

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