conftrace_

incremental learning

278 papers

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Also known as

IL

Co-occurring keywords

catastrophic forgetting (958) continual learning (1181) knowledge distillation (3725) few-shot learning (3398) semantic segmentation (3186) online learning (1777) representation learning (6206) object detection (2762) domain adaptation (4595) active learning (1301)

Papers

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection NIPS 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues ACL 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021
IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation WACV 2021
RECALL: Replay-Based Continual Learning in Semantic Segmentation ICCV 2021
Incremental Learning in Online Scenario CVPR 2020
Class-Incremental Domain Adaptation ECCV 2020
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020
Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020
Incremental Few-Shot Object Detection CVPR 2020
Continual Learning in Automatic Speech Recognition INTERSPEECH 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning WACV 2020
A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification COLING 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
Survey on Feature Transformation Techniques for Data Streams IJCAI 2020
SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning INTERSPEECH 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020
Learning to Segment the Tail CVPR 2020
ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020
On Warm-Starting Neural Network Training NIPS 2020
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract) AAAI 2020