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Self-Supervised Learning

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Papers

HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph IJCAI 2025 Hyperbolic Category Discovery CVPR 2025 HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025 iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English SemEval 2025 ICLER: Intent CLassification with Enhanced Reasoning EMNLP 2025 ICLR: In-Context Learning of Representations ICLR 2025 Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation EMNLP 2025 IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising ICCV 2025 IGD: Instructional Graphic Design with Multimodal Layer Generation ICCV 2025 Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution ICCV 2025 ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning CVPR 2025 Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control L4DC 2025 Implicit Counterfactual Learning for Audio-Visual Segmentation ICCV 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks CVPR 2025 Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions ACL 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025 Improving Equivariant Networks with Probabilistic Symmetry Breaking ICLR 2025 Improving Generalization for AI-Synthesized Voice Detection AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers ICCV 2025 Improving Low-Resource Morphological Inflection via Self-Supervised Objectives ACL 2025 Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss COLING 2025