Feature Learning

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection AAAI 2024 Exploiting Representation Curvature for Boundary Detection in Time Series NeurIPS 2024 Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers EACL 2024 Exploring the cloud of feature interaction scores in a Rashomon set ICLR 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 Graphcode: Learning from multiparameter persistent homology using graph neural networks NeurIPS 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features SemEval 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration CVPR 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NeurIPS 2024 KPConvX: Modernizing Kernel Point Convolution with Kernel Attention CVPR 2024 Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation IJCAI 2024 Learning Cluster-Wise Anchors for Multi-View Clustering AAAI 2024 Learning Correlation Structures for Vision Transformers CVPR 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 GAI-Decomposable Utility Models for Multiattribute Decision Making AAAI 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching CVPR 2024 Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations COLT 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024