embedding space

Deep Reinforcement Learning for Entity Alignment ACL 2022 Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022 DMix: Adaptive Distance-aware Interpolative Mixup ACL 2022 En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning CVPR 2022 Forward Compatible Few-Shot Class-Incremental Learning CVPR 2022 Geometric Order Learning for Rank Estimation NeurIPS 2022 Incremental False Negative Detection for Contrastive Learning ICLR 2022 IsoScore: Measuring the Uniformity of Embedding Space Utilization ACL 2022 IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces EMNLP 2022 It Takes Two to Tango: Mixup for Deep Metric Learning ICLR 2022 Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning NeurIPS 2022 Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings EMNLP 2022 Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation AAAI 2022 On Isotropy Calibration of Transformer Models ACL 2022 On the Geometry of Concreteness ACL 2022 Prototype-Based Explanations for Graph Neural Networks (Student Abstract) AAAI 2022 Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022 Self-Taught Metric Learning Without Labels CVPR 2022 Shoring up the foundations: fusing model embeddings and weak supervision UAI 2022 Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models ACL 2022 Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition WACV 2022 Structuring Representations Using Group Invariants NeurIPS 2022 Textual Manifold-based Defense Against Natural Language Adversarial Examples EMNLP 2022 The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through ACL 2022 The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022