representation learning

The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024 The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation NAACL 2024 Threshold-Consistent Margin Loss for Open-World Deep Metric Learning ICLR 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter EMNLP 2024 Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024 Topic Modeling as Multi-Objective Contrastive Optimization ICLR 2024 Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks COLING 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP 2024 Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts IJCAI 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards Category Unification of 3D Single Object Tracking on Point Clouds ICLR 2024 Towards Compositionality in Concept Learning ICML 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization ICLR 2024 Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning AAAI 2024 Towards Fast Cognate Alignment on Imbalanced Data COLING 2024 Towards Generalizing to Unseen Domains with Few Labels CVPR 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Towards Making Learnware Specification and Market Evolvable AAAI 2024 Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling COLING 2024 Towards Practical Non-Adversarial Distribution Matching AISTATS 2024