embedding space

METAPROBE: A Representation- and Task-Agnostic Probe EMNLP 2023 On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning ACL 2023 Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs EMNLP 2023 Prototype-Based Embedding Network for Scene Graph Generation CVPR 2023 Representation of Lexical Stylistic Features in Language Models’ Embedding Space ACL 2023 Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions ACL 2023 Robust Prototype Learning for Anomalous Sound Detection Interspeech 2023 Soft-Unification in Deep Probabilistic Logic NeurIPS 2023 TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification EMNLP 2023 Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval ICLR 2023 Unnatural language processing: How do language models handle machine-generated prompts? EMNLP 2023 Variation and Instability in Dialect-Based Embedding Spaces EACL 2023 When are post-hoc conceptual explanations identifiable? UAI 2023 Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings EMNLP 2023 A Closer Look at How Fine-tuning Changes BERT ACL 2022 Addressing token uniformity in transformers via singular value transformation UAI 2022 Analyzing the Representational Geometry of Acoustic Word Embeddings EMNLP 2022 An Isotropy Analysis in the Multilingual BERT Embedding Space ACL 2022 Attributable Visual Similarity Learning CVPR 2022 Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation AACL 2022 Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022 Continual Learning through Retrieval and Imagination AAAI 2022 Contrastive Adapters for Foundation Model Group Robustness NeurIPS 2022 Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning EMNLP 2022 Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective NeurIPS 2022