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Artificial Neural Networks and Machine Learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VII /

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedin...

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書目詳細資料
企業作者: SpringerLink (Online service)
其他作者: Wand, Michael (Editor), Malinovská, Kristína (Editor), Schmidhuber, Jürgen (Editor), Tetko, Igor V. (Editor)
格式: 電子 電子書
語言:英语
出版: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:1st ed. 2024.
叢編:Lecture Notes in Computer Science, 15022
主題:
Artificial intelligence.
Computers.
Application software.
Computer networks .
Artificial Intelligence.
Computing Milieux.
Computer and Information Systems Applications.
Computer Communication Networks.
在線閱讀:https://doi.org/10.1007/978-3-031-72350-6
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書本目錄:
  • -- Speech Processing.
  • Breaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters.
  • Developmental Predictive Coding Model for Early Infancy Mono- and Bilingual Vocal Continual Learning.
  • T-DVAE: A Transformer-based Dynamical Variational Autoencoder for Speech.
  • Natural Language Processing.
  • A Generalizable Context-Aware Deep Learning Model for Abusive Language Detection.
  • A Novel Graph Neural Network Based Model for Text Classification.
  • ABSA Methodology Based on Interval-enhanced Talking-heads Attention Network.
  • An Evaluation Dataset for Targeted Sentiment Analysis in Long-Form Chinese News Articles.
  • Anti-Hate Speech Framework: Leveraging Hedging Hyperbolic Learning.
  • Combining Data Generation and Active Learning for Low-Resource Question Answering.
  • CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought.
  • EKD: Effective Knowledge Distillation for Few-Shot Sentiment Analysis.
  • End-to-End Training of Back-Translation Framework with Categorical Reparameterization Trick.
  • Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on obtaining Location-Agnostic Representations.
  • Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding.
  • Improve Shallow Decoder Based Transformer with Structured Expert Prediction.
  • KELTP: Keyword-Enhanced Learned Token Pruning for Knowledge-Grounded Dialogue.
  • Knowledge Base Question Generation via Data Augmentation with Dynamic-prompt.
  • Lifelong Sentiment Classification Based on Adaptive Parameter Updating.
  • Multi-stage vs Single-stage: A Local Information Focused Approach for Overlapping Event Extraction.
  • PLIClass: Weakly Supervised Text Classification with Iterative Training and Denoisy Inference.
  • Reinforced Keyphrase Genertion with Multi-Dimensional Reward.
  • Reinforced Multi-Teacher Knowledge Distillation for Unsupervised Sentence Representation.
  • Summarizing Like Human: Edit-Based Text Summarization with Keywords.
  • Towards Persona-oriented LLM-generated Text Detection: Benchmark Dataset and Method.
  • Use of Riemannian distance metric to verify topological similarity of acoustic and text domains.
  • WKE: Word-level Knowledge Enrichment for Aspect Term Extraction.
  • Language Modeling.
  • A general-purpose material entity extraction method from large compound corpora using fine tuning of character features.
  • Efficient Fine-tuning for Low-resource Tibetan Pre-trained Language Models.
  • Enhancing LM’s Task Adaptability: Powerful Post-Training Framework with Reinforcement Learning from Model Feedback.
  • GL-NER: Generation-aware Large Language Models for Few-shot Named Entity Recognition.

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