SV
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
SV-Detect: AI-generated Text Detection with Steering Vectors
new Abstract: Detecting machine-generated text is especially difficult under distribution shift, such as transfer across domains, source models, and editing attacks. We propose a fake-text detector based on steering vectors extracted from the hidden representations of a frozen language model. At each layer, we construct a direction that separates human-written from machine-generated text, and represent each input by its layer-wise alignment with these directions.
SpeakerCard-1M: An Evidence-Grounded Speaker Card Corpus for In-the-Wild Speaker Verification
Announce Type: replace-cross Abstract: Modern speaker verification (SV) systems rely on speaker embeddings that are effective but difficult to interpret or query in natural language. Most existing speech-text corpora target controllable synthesis or utterance-level captioning, and provide limited speaker-level supervision for in-the-wild speaker recognition. This paper introduces SpeakerCard-1M, a bilingual speaker-centric resource for evidence-grounded SV, derived from VoxCeleb1/2 and...
SpeakerCard-1M: An Evidence-Grounded Speaker Card Corpus for In-the-Wild Speaker Verification
arXiv:2606.03283v1 Announce Type: cross Abstract: Modern speaker verification (SV) systems rely on speaker embeddings that are effective but difficult to interpret or query in natural language. Most existing speech-text corpora target controllable synthesis or utterance-level captioning, and provide limited speaker-level supervision for in-the-wild speaker recognition. This paper introduces SpeakerCard-1M, a bilingual speaker-centric resource for evidence-grounded SV, derived from...
Structure-Conditioned Actor-Critic Branches for Quality-Diversity Reinforcement Learning
Announce Type: new Abstract: Quality-diversity reinforcement learning (QD-RL) aims to construct policy repertoires that contain both high-performing and behaviorally diverse policies. Existing QD-RL methods mainly diversify policy instances after rollout evaluation or use learned value information to improve policy quality and behavior targeting, while the learning branches that generate candidate policies remain less explored. This paper proposes SV-QD-RL, a structure-value coupled...
Assessing the Energy and Carbon Emissions of Neural Speaker Verification Model in Training and Inference
arXiv:2606.08087v1 Announce Type: new Abstract: Deep-learning speaker verification (SV) increasingly relies on deep neural network backbones, whose environmental impact remains largely undocumented. In this paper, we conduct an evaluation of ResNet architectures trained on VoxCeleb2, varying depth, channel width, and stage distribution, and measure energy consumption and carbon footprint using node-level sensors. Results show a clear point of diminishing returns: deeper or wider models bring...
Stanley Cup Final preview: Key players, goalie con...
From a starting point of 16 teams, the 2026 Stanley Cup playoff field is now down to two. The Carolina Hurricanes blew past their competition in the Eastern Conference, needing only 13 games to win three series. The Vegas Golden Knights needed 16 games to get past their three opponents, but that included a four-game sweep of the top-seeded Colorado Avalanche.
Imputed graph-genotyped structural variants identify regulatory haplotypes associated with gene expression in Atlantic salmon
Structural variants (SVs) can affect gene regulation, but they are difficult to include in expression genetic studies when large RNA-seq cohorts lack whole-genome sequencing. This is common in non-human and non-model systems, where whole-genome sequencing at population scale remains costly. As a result, expression quantitative trait locus (eQTL) studies often rely on single nucleotide polymorphism (SNP) markers.
Optical genome mapping identifies source-associated structural variant differences across early-passage human iPSCs
Background: Induced pluripotent stem cells (iPSCs) are an important model for studying human diseases in vitro. However, previous studies have shown that iPSC reprogramming and extended cell culture can introduce genomic structural variants (SVs). Technologies like karyotyping, CNV microarrays, and whole-genome sequencing have limitations in resolution, sensitivity, or the ability to detect large and complex structural variants compared to optical genome mapping (OGM).
Stanley Cup Final player rankings: Hart, Andersen,...
The 2026 Stanley Cup Final has arrived, and it represents the central tension of the 2026 playoffs. On the one hand, it's not a surprise to see the Carolina Hurricanes skating for Lord Stanley's Cup because they were the East's best team by record all season. Then again, this team had a long history of falling short of the Final before this year -- a trend the Hurricanes finally defied.
Modric set for likely final World Cup as Dalic names unchanged Croatia squad
Modric set for likely final World Cup as Dalic names unchanged Croatia squad June 1 : Croatia captain Luka Modric is set to lead his country at what is expected to be the 2018 Ballon d’Or winner’s final World Cup appearance after coach Zlatko Dalic named an unchanged 26-man squad. Dalic stuck with the provisional list announced on May 18, trimming the seven standby players as Croatia look to build on recent tournament success. Modric, 40, will have one last chance to guide Croatia to World...