Region-Based Optimization in Continual Learning for Audio Deepfake Detection
Comments Accepted by AAAI 2025
期刊&会议
AAAI
AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
Comments Accepted by AAAI 2025
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Comments Accepted at AAAI-25
HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection
Comments 12 pages, 8 figures, 7 tables. Accepted by AAAI 2025 , the 39th Annual AAAI Conference on Artificial Intelligence
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning
Comments Accepted at AAAI 2025
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
Comments The paper was accepted by AAAI 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
Comments Accepted by AAAI 2025
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
Comments This work is accepted by AAAI 2025
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Comments accepted by AAAI 2025
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Comments Accepted by AAAI 20205, Project page: https://fanjunkai1.github.io/projectpage/DCL/index.html
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Comments Accepted by AAAI 2025
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Comments Accepted by AAAI 2025
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
Comments Accepted by AAAI 2025
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching
Comments Accepted at AAAI 2025. For the implementation, see https://github.com/szegedai/stitching-ood
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation
Comments Accepted to AAAI 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
Comments AAAI 2025
Early Concept Drift Detection via Prediction Uncertainty
Comments Accepted by AAAI-2025
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
Comments AAAI 2025
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
Comments Accepted by AAAI 2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
Comments Accepted by the Main Technical Track of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025)
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Comments Accepted at AAAI-25
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
Comments Accepted for publication in the Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Comments AAAI 2025 Main Track
Fully Test-time Adaptation for Tabular Data
Comments Accepted by AAAI 2025. Code is available at: https://wnjxyk.github.io/FTTA
Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning
Comments Accepted to AAAI 2025
Medical Manifestation-Aware De-Identification
Comments Accepted to AAAI 2025
Patch-level Sounding Object Tracking for Audio-Visual Question Answering
Comments Accepted by AAAI 2025
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
Comments Published at AAAI 2025
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Comments Accepted by AAAI 2025
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
Comments Accepted to AAAI 2025
