
Neural Information Processing
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.
The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
More details
Other editions
Additional editions

Content
Integrating Hierarchical Fine-Grained and Global Information for Multimodal Sentiment Analysis.- Elemental Discourse Unit Guidance Based Model for Multimodal Sentence Summarization.- DeemCLIP: Multimodal Emotion Information Enhanced Human Action Recognition.- Can Multimodal Large Language Model Think Analogically?.- PKRD-CoT: A unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving.- Multi-Granularity Multimodal Information Interaction for Knowledge Graph Completion.- Graph Enhanced Cross-Modal Retrieval based on Visual-Language Knowledge Distillation.- A Simple Interactive Attention for Multimodal Named Entity Recognition.- Multimodal Polarity-semantic Coupling Network for Sarcasm Analysis.- A Two-Stage Multi-Domain Collaborative Optimization Network for 3D Human Mesh Recovery.- Supporting Event Sentence Coreference Identification with Progressive Prompt-guided Implicit knowledge Distillation.- CRGAT: Contextualized Relational Graph Attention Network for Knowledge Graph Completion.- Leveled Learning: An Interpolation-Based Data Augmentation Method on Few-Shot Text Classification.- Prompt-tuning for Clickbait Detection via Text Summarization.- Optimizing BERT for Superior NLP Performance: Balancing Efficiency with Advanced Pre-Training Techniques.- EBPL: Financial Event Causality Extraction Based on Prompt Learning.- TCAN: Triple Context-Aware Network for Multi-Modal Conversational Emotion Recognition.- DDKG: Dual attention KG-to-text Generation with Dual-view Graph Attention.- The Master-Slave Encoder Model for Improving Patent Text Summarization: A New Approach to Combining Specifications and Claims.- MulLog: A Software Defect Prediction Approach Based on Multi-Label Contrastive Learning and Line Property Graph Learning.- Video Piracy Websites Detection using Continual Learning with Elastic Weight Consolidation.- MetaRAED: Meta Learning Prototype-based Retrieval Augmented Few-shot Event Detection.- Cantonese Dialect Transcription in Diverse Sophisticated Scenarios via the OpenAI Whisper Speech Recognition Model.- Cross-lingual Sentence Representations via Focus Learning.- SPSEAE: Soft Prompt with Relevant Context Aggregation for Sentence-Level Event Argument Extraction.- HinglishCap: A Code Mixed Hindi-English Image Captioning Framework.- Silent Intruders: Dissecting Textual Backdoor Attacks in Federated
Dialog Systems.- SBoRA: Low-Rank Adaptation with Regional Weight Updates.- Improving Document-level Event Coreference Resolution with Knowledge Distillation.- Improving In-Context Learning with Inquiry Style Classification in Table Question Answering.- Role-playing based on Large Language Models via Style Extraction.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.