Summary of Manual Verbalizer Enrichment For Few-shot Text Classification, by Quang Anh Nguyen et al.
Manual Verbalizer Enrichment for Few-Shot Text Classificationby Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry…
Summary of Simo Loss: Anchor-free Contrastive Loss For Fine-grained Supervised Contrastive Learning, by Taha Bouhsine et al.
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learningby Taha Bouhsine, Imad El Aaroussi,…
Summary of Morel: Enhancing Adversarial Robustness Through Multi-objective Representation Learning, by Sedjro Salomon Hotegni et al.
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learningby Sedjro Salomon Hotegni, Sebastian PeitzFirst submitted to…
Summary of Tivat: a Transformer with a Single Unified Mechanism For Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting, by Junwoo Ha et al.
TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time…
Summary of Dual Consolidation For Pre-trained Model-based Domain-incremental Learning, by Da-wei Zhou et al.
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learningby Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, Lijun Zhang,…
Summary of Intelligent Repetition Counting For Unseen Exercises: a Few-shot Learning Approach with Sensor Signals, by Yooseok Lim et al.
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signalsby Yooseok Lim,…
Summary of Linear Projections Of Teacher Embeddings For Few-class Distillation, by Noel Loo et al.
Linear Projections of Teacher Embeddings for Few-Class Distillationby Noel Loo, Fotis Iliopoulos, Wei Hu, Erik…
Summary of Robust Llm Safeguarding Via Refusal Feature Adversarial Training, by Lei Yu et al.
Robust LLM safeguarding via refusal feature adversarial trainingby Lei Yu, Virginie Do, Karen Hambardzumyan, Nicola…
Summary of Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings, by Konstantinos Pantazis et al.
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddingsby Konstantinos Pantazis, Michael Trosset, William N.…
Summary of How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not, by Francesco Verdini et al.
How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does…