Co-occurring keywords · papers mentioning both
Papers
HygMap: Representing All Types of Map Entities via Heterogeneous Hypergraph
IJCAI 2025
Hyperbolic Category Discovery
CVPR 2025
Hyperbolic Genome Embeddings
ICLR 2025
Hypergraph Clustering Network with Partial Attribute Imputation
ICCV 2025
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
AISTATS 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
AAAI 2025
ICLR: In-Context Learning of Representations
ICLR 2025
Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation
EMNLP 2025
I-Con: A Unifying Framework for Representation Learning
ICLR 2025
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
ACL 2025
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
ICLR 2025
Identifying and Reusing Learnwares Across Different Label Spaces
IJCAI 2025
Identifying latent state transitions in non-linear dynamical systems
ICLR 2025
Image and Video Tokenization with Binary Spherical Quantization
ICLR 2025
Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics
IJCAI 2025
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
ACL 2025
Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
ICLR 2025
Implicit In-context Learning
ICLR 2025
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
RSS 2025
Implicit vs Unfolded Graph Neural Networks
JMLR 2025
Improved Sparse Upcycling for Instruction Tuning
COLING 2025
Improve Representation for Imbalanced Regression through Geometric Constraints
CVPR 2025
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
ACL 2025
Improving Clustering with Positive Pairs Generated from LLM-Driven Labels
EMNLP 2025
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
AAAI 2025