feature diversity

Temporal Representation Enhancement (TRE): Learning to Forget Dominant Patterns for Enhanced Temporal Spiking Features CVPR 2026 Adaptive Dataset Quantization AAAI 2025 Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection ICLR 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 Indirect Alignment and Relationship Preservation for Domain Generalization IJCAI 2025 Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024 Diverse Imagenet Models Transfer Better WACV 2024 Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Delving into Semantic Scale Imbalance ICLR 2023 Entity Disambiguation on a Tight Labeling Budget EMNLP 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NeurIPS 2023 Quality Diversity for Visual Pre-Training ICCV 2023 Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation NeurIPS 2023 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NeurIPS 2022 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings ICCV 2021 Bias Loss for Mobile Neural Networks ICCV 2021 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification ACML 2020 Submodular Batch Selection for Training Deep Neural Networks IJCAI 2019 On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016