Copertina

On The Relationship Between Continual Learning and Long-Tailed Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Molahasani, Mahdiyar, Greenspan, Michael, Etemad, Ali
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection
di: Molahasani, Mahdiyar, et al.
Pubblicazione: (2025)

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
di: Pourpanah, Farhad, et al.
Pubblicazione: (2024)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
di: Soltany, Milad, et al.
Pubblicazione: (2024)

Diffusion Models with Deterministic Normalizing Flow Priors
di: Zand, Mohsen, et al.
Pubblicazione: (2023)

CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecasting
di: Desai, Nishq Poorav, et al.
Pubblicazione: (2026)

Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
di: Taghanaki, Setareh Rahimi, et al.
Pubblicazione: (2022)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
di: Roy, Shuvendu, et al.
Pubblicazione: (2023)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
di: Du, Chaoqun, et al.
Pubblicazione: (2024)

CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis
di: Desai, Nishq Poorav, et al.
Pubblicazione: (2024)

DELTA: Decoupling Long-Tailed Online Continual Learning
di: Raghavan, Siddeshwar, et al.
Pubblicazione: (2024)

Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting
di: Damirchi, Haleh, et al.
Pubblicazione: (2024)

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers
di: Davoodnia, Vandad, et al.
Pubblicazione: (2023)

Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning
di: Mahmud, Zunayed, et al.
Pubblicazione: (2022)

DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
di: Ayzenberg, Lev, et al.
Pubblicazione: (2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning
di: Roy, Shuvendu, et al.
Pubblicazione: (2024)

Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
di: Kolahdouzi, Mojtaba, et al.
Pubblicazione: (2025)

Learning from Imperfect Text Guidance: Robust Long-Tail Visual Recognition with High-Noise Label
di: Li, Mengke, et al.
Pubblicazione: (2026)

Long-Tail Learning with Rebalanced Contrastive Loss
di: De Alvis, Charika, et al.
Pubblicazione: (2023)

Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
di: Tang, Wei, et al.
Pubblicazione: (2025)

LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
di: Shi, Jiang-Xin, et al.
Pubblicazione: (2025)

Learning from Reduced Labels for Long-Tailed Data
di: Wei, Meng, et al.
Pubblicazione: (2024)

Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
di: Qi, Zhi-Hong, et al.
Pubblicazione: (2024)

Partial Label Learning for Emotion Recognition from EEG
di: Zhang, Guangyi, et al.
Pubblicazione: (2023)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
di: Shi, Jiang-Xin, et al.
Pubblicazione: (2023)

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
di: Feng, Shuai, et al.
Pubblicazione: (2025)

Efficient Long-Tail Learning in Latent Space by sampling Synthetic Data
di: Sharma, Nakul
Pubblicazione: (2025)

DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
di: Baik, Jae Soon, et al.
Pubblicazione: (2022)

TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
di: Jung, Yoon Gyo, et al.
Pubblicazione: (2025)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
di: Roy, Shuvendu, et al.
Pubblicazione: (2024)

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
di: Zheng, Hongwei, et al.
Pubblicazione: (2024)

Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
di: Liu, Lei, et al.
Pubblicazione: (2024)

Conformal Prediction for Long-Tailed Classification
di: Ding, Tiffany, et al.
Pubblicazione: (2025)

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
di: Rojas-Gomez, Renan A., et al.
Pubblicazione: (2023)

Long-Tailed Continual Learning For Visual Food Recognition
di: He, Jiangpeng, et al.
Pubblicazione: (2023)

Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
di: Duan, Chen-Long, et al.
Pubblicazione: (2024)

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
di: Hou, Shihao, et al.
Pubblicazione: (2025)

Evaluating Test-Time Adaptation For Facial Expression Recognition Under Natural Cross-Dataset Distribution Shifts
di: Turnbull, John, et al.
Pubblicazione: (2026)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
di: Du, Chaoqun, et al.
Pubblicazione: (2024)

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
di: Shi, Jiang-Xin, et al.
Pubblicazione: (2024)

Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
di: Zhang, Lilin, et al.
Pubblicazione: (2026)