Similarity
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
What Cosine Similarity of Label Representations Can and Cannot Tell us
Announce Type: replace Abstract: Cosine similarity is often used to measure the similarity of vector representations of neural network models. However, the cosine similarity of representations is not guaranteed to tell us anything about model probabilities. In this paper we show that for a softmax classifier, be it an image classifier or an autoregressive language model, the cosine similarity between label representations (called unembeddings in the paper) does not give any information on...
Do speech foundation models perceive speaker similarity as humans do?
Announce Type: new Abstract: This study presents a comparative analysis between the speaker embeddings of speech foundation models and human subjective perception of speaker similarity. Human listeners have the ability to judge speaker similarity on a continuous scale discerning how similar two voices are. In contrast, speech foundation models embed speaker characteristics into numerical representation.
Grounding Functional Similarity by Invariance-Aware Model Stitching
arXiv:2505.20142v2 Announce Type: replace Abstract: In deep learning, functional similarity evaluation quantifies the extent to which independently trained models learn similar input--output relationships. In model stitching, functional similarity is framed as representation forward compatibility, i.e., whether the representations of two models can be aligned to solve a given task. Recent studies, however, highlight a critical limitation: models relying on different information cues can...
Do speech foundation models perceive speaker similarity as humans do?
Announce Type: replace Abstract: This study presents a comparative analysis between the speaker embeddings of speech foundation models and human subjective perception of speaker similarity. Human listeners have the ability to judge speaker similarity on a continuous scale discerning how similar two voices are. In contrast, speech foundation models embed speaker characteristics into numerical representation.
DySem: Uncovering Dynamic Semantic Components of Large Language Models for Calculating Semantic Textual Similarity
Announce Type: replace Abstract: Calculating semantic textual similarity is a foundational task in natural language processing. Current large language models (LLMs) based methods typically rely on extracting last-layer hidden states with fixed dimensions to compute similarity for every text pairs. We argue that this paradigm is suffer from two limitations: (i) The last hidden layer encodes more general knowledge rather than just semantic knowledge, making it suboptimal for semantic...
Exploiting Similarities in A/B Testing with Off-Policy Estimation
arXiv:2506.10677v3 Announce Type: replace-cross Abstract: We study A/B testing, the standard protocol for measuring the performance gain of a new decision system relative to a baseline. Traditional A/B testing treats both systems as black boxes, ignoring potential similarities between them. In practice, however, new and baseline systems are rarely radically different and often share significant structure, which can be captured by their propensities to make similar decisions.
Variational Adapter for Cross-modal Similarity Representation
arXiv:2605.30968v1 Announce Type: new Abstract: The core of vision-language models lies in measuring cross-modal similarity within a unified representation space. However, most image-text matching or multi-class image classification datasets lack fine-grained cross-modal matching annotations, forcing the continuous similarity space into binary classification boundaries. This compression induces false negative samples and significantly impairs the generalization performance of cross-modal tasks.
Unifying Information-Theoretic and Pair-Counting Clustering Similarity
arXiv:2511.03000v2 Announce Type: replace-cross Abstract: Comparing clusterings is central to evaluating unsupervised models, yet the many existing similarity measures can produce widely divergent, sometimes contradictory, evaluations. Clustering similarity measures are typically organized into two principal families, pair-counting and information-theoretic, reflecting whether they quantify agreement through element pairs or aggregate information across full cluster contingency tables. Prior...
B&M £10 item 'adds height and dimension' to gardens similar to £35 John Lewis product
B&M £10 item 'adds height and dimension' to gardens similar to £35 John Lewis product B&M has launched a Natural Plant Stand for £10 that looks strikingly similar to one available at John Lewis Shoppers wanting to "add height and dimension" to their gardens could do exactly that with the latest offer at B&M. The discount retailer, which stocks an expanding range of homeware and furniture bargains, is continuing to build its garden collection. Describing the Natural Plant Stand, the B&M...
'Gardens come to life' thanks to B&M £5 item similar to £21 The Range option
'Gardens come to life' thanks to B&M £5 item similar to £21 The Range option The solar-powered garden accessory lights up with a warm glow at dusk and is over £15 cheaper than a similar item at The Range Summer is just around the corner and plenty of shoppers are focusing on refreshing their gardens before the warmer weather arrives. B&M is currently offering an expanding selection of outdoor furniture, lighting and decorative accessories alongside its regular homeware deals - but one...