Representation Learning

Exploring Efficient and Effective Sequence Learning for Visual Object Tracking IJCAI 2025 Exploring Graph Representations of Logical Forms for Language Modeling ACL 2025 Exploring Human-AI Conceptual Alignment through the Prism of Chess NeurIPS 2025 Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection EMNLP 2025 Exploring In-Image Machine Translation with Real-World Background ACL 2025 Exploring Invariance in Images through One-way Wave Equations ICML 2025 Exploring Layer-wise Representations of English and Chinese Homonymy in Pre-trained Language Models ACL 2025 Exploring Learning Complexity for Efficient Downstream Dataset Pruning ICLR 2025 Exploring More from Multiple Gait Modalities for Human Identification AAAI 2025 Exploring morphology-aware tokenization: A case study on Spanish language modeling EMNLP 2025 Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis ACL 2025 Exploring Rationale Learning for Continual Graph Learning AAAI 2025 Exploring Representations and Interventions in Time Series Foundation Models ICML 2025 Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment CVPR 2025 Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models ICLR 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025 Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant IJCAI 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning IJCAI 2025 Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing AAAI 2025 Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data JMLR 2025 Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction CVPR 2025 Extended Abstract for “Linguistic Universals”: Emergent Shared Features in Independent Monolingual Language Models via Sparse Autoencoders EMNLP 2025