Representation Learning

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning NeurIPS 2024 Joint-Task Regularization for Partially Labeled Multi-Task Learning CVPR 2024 JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024 JRC-Names-Retrieval: A Standardized Benchmark for Name Search COLING 2024 J-SNACS: Adposition and Case Supersenses for Japanese Joshi COLING 2024 Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs “Difficult" Downstream Tasks in LLMs ICML 2024 KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students EMNLP 2024 KazParC: Kazakh Parallel Corpus for Machine Translation COLING 2024 Kepler codebook ICML 2024 Kernelised Normalising Flows ICLR 2024 Kernel PCA for Out-of-Distribution Detection NeurIPS 2024 Kernel Readout for Graph Neural Networks IJCAI 2024 Kernel Thinning JMLR 2024 Keyphrase Generation: Lessons from a Reproducibility Study COLING 2024 Keypoint Promptable Re-Identification ECCV 2024 KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NeurIPS 2024 KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding AAAI 2024 Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments RSS 2024 Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection COLING 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 Knowledge Conflicts for LLMs: A Survey EMNLP 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Knowledge Enhanced Representation Learning for Drug Discovery AAAI 2024 Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024 Knowledge Graphs Can be Learned with Just Intersection Features ICML 2024