cosine similarity

IsoScore: Measuring the Uniformity of Embedding Space Utilization ACL 2022 MAML is a Noisy Contrastive Learner in Classification ICLR 2022 Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation WACV 2022 Monocular Depth Estimation With Adaptive Geometric Attention WACV 2022 Optimizing the weighted sequence alignment algorithm for large-scale text similarity computation AACL 2022 Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words ACL 2022 Scoring of Large-Margin Embeddings for Speaker Verification: Cosine or PLDA? Interspeech 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet COLING 2022 TCS WITM 2022@FinSim4-ESG: Augmenting BERT with Linguistic and Semantic features for ESG data classification EMNLP 2022 The Document Vectors Using Cosine Similarity Revisited ACL 2022 Towards Theoretically Inspired Neural Initialization Optimization NeurIPS 2022 Two Methods for Spoofing-Aware Speaker Verification: Multi-Layer Perceptron Score Fusion Model and Integrated Embedding Projector Interspeech 2022 Unsupervised Partial Sentence Matching for Cited Text Identification COLING 2022 Wolfies at SemEval-2022 Task 8: Feature extraction pipeline with transformers for Multi-lingual news article similarity SemEval 2022 Adaptive Bridge between Training and Inference for Dialogue Generation EMNLP 2021 All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality EMNLP 2021 Evaluation of Similarity-based Explanations ICLR 2021 Federated Learning with Fair Averaging IJCAI 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 Isotropy in the Contextual Embedding Space: Clusters and Manifolds ICLR 2021 Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use? NAACL 2021 Multimodal and Multilingual Embeddings for Large-Scale Speech Mining NeurIPS 2021 One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective NeurIPS 2021 PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns. NAACL 2021