Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
Comments 18 pages, 15 figures, project page: https://anywheremultiagent.github.io, Accepted at AAAI 2025
期刊&会议
AAAI
AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence
A Layer Selection Approach to Test Time Adaptation
Comments 19 pages, 8 figures, Accepted at AAAI 2025
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Comments Accepted by AAAI-24
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
Comments Accepted at the 39th Annual AAAI Conference on Artificial Intelligence, AI for Social Impact track
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Comments To appear in AAAI-2025 as a conference paper
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Comments Accepted in AAAI 2025
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress
Comments Accepted for an oral presentation at AAAI-25 AI4TS
GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
Comments AAAI 2025 Spring Symposium Series (SSS), GenAI@Edge: Empowering Generative AI at the Edge Symposium
Data Wrangling Task Automation Using Code-Generating Language Models
Comments Accepted at AAAI 2025 Demo
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Comments Accepted by AAAI 2025
State-Based Disassembly Planning
Comments Accepted at AAAI 2025 (extended version)
Is Your Image a Good Storyteller?
Comments Accepted by AAAI 2025
Learning to Manipulate under Limited Information
Comments Final version for Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25)
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
Comments GenAI4Health - AAAI '25
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Comments Accepted in the main technical track of the AAAI 2025
Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability
Comments Publication accepted at AAAI Deployable AI conference 2025 (proof - accepted-papers?authuser=0" target="_blank" rel="noopener">https://sites.google.com/view/dai-2025/accepted-papers?authuser=0) Total 17 pages
A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems
Comments 6 pages, 2 figures, AAAI 2025 Workshop on A Translational Institute for Knowledge Axiomatization
Large Language Models for Interpretable Mental Health Diagnosis
Comments Accepted at AAAI 2025 Workshop on Large Language Models and Generative AI for Health (GenAI4Health)
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Comments Accepted by AAAI 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Comments Accepted to AAAI,2025
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
Comments Accept by AAAI 2025 (Also fix the typo mistakes in line 9 of the Algorithm 2 in the AAAI camera-ready version)
MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval
Comments Accepted by AAAI 2025
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Comments AAAI 2025. Project page: https://hyunji12.github.io/Open3DRF
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval
Comments AAAI-25
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction
Comments Accepted to AAAI-25 AISI
Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
Comments AAAI 2025 Workshop DATASAFE
Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Comments AAAI 2025
Tradutor: Building a Variety Specific Translation Model
Comments AAAI 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Comments 9 pages, 8 figures, AAAI conference
SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
Comments To appear in: AAAI 2025 Workshop on Planning and Reinforcement Learning (PRL) - Bridging the Gap Between AI Planning and Reinforcement Learning
