Representation Learning

Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks CVPR 2025 TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation ICLR 2025 Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement EMNLP 2025 Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models ICLR 2025 Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation ACL 2025 Two-Stage Feature Generation with Transformer and Reinforcement Learning IJCAI 2025 Two Steps from Hell: Compositionality on Chemical LMs EMNLP 2025 Type and Complexity Signals in Multilingual Question Representations EMNLP 2025 Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models EMNLP 2025 UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition ICLR 2025 ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation EMNLP 2025 Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution AAAI 2025 Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks CVPR 2025 Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks AAAI 2025 Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025 Uncertainty-aware Knowledge Tracing AAAI 2025 Uncertainty-Guided Metric Learning without Labels WACV 2025 Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025 Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval EMNLP 2025 Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations ICCV 2025 Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing ICLR 2025 Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025 Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space CVPR 2025 Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity ICML 2025