Contrastive Learning for Authorship Verification

arXiv:2609.28471 · cs.CL, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/petekirby/contrastive-av

Terminology

• Contrastive Learning — 20× in this paper · explained in 5 episodes
• Transformer — 15× in this paper · explained in 2 episodes
• Data Augmentation — 8× in this paper · explained in 7 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Loss Function — 7× in this paper · explained in 2 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Anchor Loss — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification
• PyTorch Metric Learning
• Representation Learning with Contrastive Predictive Coding
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

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