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feature space

254 papers

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representation learning (24) domain adaptation (18) feature learning (17) neural network (16) contrastive learning (16) convolutional neural network (13) kernel methods (13) data augmentation (13) transfer learning (13) semantic segmentation (12)

Papers

MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering IJCAI 2025 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 Multilingual Learning Strategies in Multilingual Large Language Models EMNLP 2025 On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning IJCAI 2025 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICML 2025 PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity ICML 2025 PRIME: Deep Imbalanced Regression with Proxies ICML 2025 Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025 Rethinking Multiple-Instance Learning From Feature Space to Probability Space ICLR 2025 Revisiting Machine Unlearning with Dimensional Alignment WACV 2025 Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning IJCAI 2025 Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025 Weak-to-Strong Generalization Even in Random Feature Networks, Provably ICML 2025 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition AAAI 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024 Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval WACV 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning IJCAI 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation NeurIPS 2024 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024