conftrace_

feature learning

1,420 papers

Explore in graph

Also known as

FL

Co-occurring keywords · papers mentioning both

representation learning (216) neural network (192) convolutional neural network (188) image classification (109) unsupervised learning (102) domain adaptation (81) self-supervised learning (74) object detection (72) transfer learning (71) deep learning (69)

Papers

Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NeurIPS 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NeurIPS 2024 How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024 Image Labels Are All You Need for Coarse Seagrass Segmentation WACV 2024 Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data ICLR 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024 Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders NeurIPS 2024 Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024 Infinite Limits of Multi-head Transformer Dynamics NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Interpretable Object Recognition by Semantic Prototype Analysis WACV 2024 Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NeurIPS 2024 Investigating the Benefits of Projection Head for Representation Learning ICLR 2024 Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation IJCAI 2024 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Group Activity Features Through Person Attribute Prediction CVPR 2024 Learning Hierarchical Polynomials with Three-Layer Neural Networks ICLR 2024 Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching CVPR 2024 Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024 Learning Segmentation from Point Trajectories NeurIPS 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024