Representation Learning

Neuron-Level Sequential Editing for Large Language Models ACL 2025 NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025 NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification AAAI 2025 Noise-Resistant Video Anomaly Detection via RGB Error-Guided Multiscale Predictive Coding and Dynamic Memory CVPR 2025 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025 Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering ACL 2025 Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models CVPR 2025 Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection CVPR 2025 OASIS: Order-Augmented Strategy for Improved Code Search ACL 2025 Objective drives the consistency of representational similarity across datasets ICML 2025 Omni-ID: Holistic Identity Representation Designed for Generative Tasks CVPR 2025 OmniSR: Shadow Removal Under Direct and Indirect Lighting AAAI 2025 On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025 One Wave To Explain Them All: A Unifying Perspective On Feature Attribution ICML 2025 On Support Samples of Next Word Prediction ACL 2025 On the Correspondence between the Squared Norm and Information Content in Text Embeddings EMNLP 2025 On the Identifiability of Causal Abstractions AISTATS 2025 On the Importance of Embedding Norms in Self-Supervised Learning ICML 2025 On the Importance of Gaussianizing Representations ICML 2025 On the Local Complexity of Linear Regions in Deep ReLU Networks ICML 2025 On the Power of Convolution-Augmented Transformer AAAI 2025 On the Power of Multitask Representation Learning with Gradient Descent AISTATS 2025 Open-Canopy: Towards Very High Resolution Forest Monitoring CVPR 2025 OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion AAAI 2025 OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025