conftrace_

long-tailed distribution

142 papers

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Co-occurring keywords

class imbalance (555) representation learning (6206) object detection (2762) contrastive learning (4032) image classification (1944) multi-label classification (1009) visual recognition (184) data augmentation (3052) knowledge distillation (3725) semi-supervised learning (2341)

Papers

Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer AAAI 2026
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026
Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling AAAI 2026
Dual-Phase Visual-Language Pretraining and Adaptation for Long-Tailed Multi-Label Recognition AAAI 2026
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail AAAI 2025
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection CVPR 2025
Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering ICCV 2025
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images CVPR 2025
A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics AAAI 2025
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025
Generalized Class Discovery in Instance Segmentation AAAI 2025
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection WACV 2025
Category-Specific Selective Feature Enhancement for Long-Tailed Multi-Label Image Classification ICCV 2025
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025
The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection IJCAI 2025
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse AAAI 2025
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions WACV 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning AAAI 2025
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025
LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions EMNLP 2025