embedding space

Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space. ICLR 2022 Understanding Dimensional Collapse in Contrastive Self-supervised Learning ICLR 2022 A Knowledge-Guided Framework for Frame Identification ACL 2021 Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast EMNLP 2021 Analyzing the Surprising Variability in Word Embedding Stability Across Languages EMNLP 2021 An Uncertainty-Aware Encoder for Aspect Detection EMNLP 2021 A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders EMNLP 2021 A Unified Feature Representation for Lexical Connotations EACL 2021 Changing the Basis of Contextual Representations with Explicit Semantics ACL 2021 Contrastive Embedding for Generalized Zero-Shot Learning CVPR 2021 Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings ACL 2021 Deep Metric Learning with Self-Supervised Ranking AAAI 2021 Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings CVPR 2021 Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction AAAI 2021 How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy EMNLP 2021 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021 Joint Learning of 3D Shape Retrieval and Deformation CVPR 2021 Learning Intra-Batch Connections for Deep Metric Learning ICML 2021 Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. EMNLP 2021 Neural Cellular Automata Manifold CVPR 2021 On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors ICCV 2021 Probabilistic task modelling for meta-learning UAI 2021 Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning AAAI 2021 Putting Words in BERT’s Mouth: Navigating Contextualized Vector Spaces with Pseudowords EMNLP 2021 Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses ICCV 2021