feature learning

1309 papers

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Co-occurring keywords

representation learning (6174) convolutional neural network (4216) neural network (6616) image classification (1943) unsupervised learning (3255) domain adaptation (4578) object detection (2759) transfer learning (5442) self-supervised learning (3751) deep learning (2111)

Papers

NetTrack: Tracking Highly Dynamic Objects with a Net CVPR 2024

Exploring Pose-Aware Human-Object Interaction via Hybrid Learning CVPR 2024

How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024

Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024

Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024

Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract) AAAI 2024

Memorization With Neural Nets: Going Beyond the Worst Case JMLR 2024

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation CVPR 2024

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization NIPS 2024

Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation IJCAI 2024

Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN INTERSPEECH 2024

Interpretable Object Recognition by Semantic Prototype Analysis WACV 2024

The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NIPS 2024

Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images WACV 2024

Object Aware Contrastive Prior for Interactive Image Segmentation WACV 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NIPS 2024

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization CVPR 2024

Disentangled Pre-Training for Image Matting WACV 2024

Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NIPS 2024

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024

On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024

You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection NIPS 2024