Papers
184,605 papers found
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
Shuxia Lin, Qiufeng Wang, Chang Liu et al.
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Lei Xu, Pierre Beckmann, Marco Valentino et al.
Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning
Yongbiao Gao, Xiangcheng Sun, Chao Tan et al.
Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
Zhenxi Zhang, Fuchen Zheng, Adnan Iltaf et al.
Adaptive Piecewise Distillation for Efficient LiDAR Data Generation
Ruibo Li, Xiaofeng Yang, Ze Yang et al.
Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms
XuWen Zhang, Xiao Xue, Xia Xie et al.
Adaptive Riemannian Graph Neural Networks
Xudong Wang, Chris Ding, Tongxin Li et al.
Adaptive-Smooth LiDAR-Camera Knowledge Distillation with Heterogeneous Fusion for Multi-View 3D Object Detection
Rui Zhao, Shuoyao Wang, Xinhu Zheng et al.
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
Chunjiang Mu, Ya Zeng, Qiaosheng Zhang et al.
AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System
Qixin Wang, Dawei Wang, Kun Chen et al.
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu
AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
Jiacheng Wang, Tianle Chen, Pengyu Cheng et al.
AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification
Dinh-Truong Do, Nguyen-Khang Le, Le-Minh Nguyen
A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract)
Arnav Gupta, Albert Liu, Eliza Haines et al.
A Dataset and Framework for Learning State-invariant Object Representations
Rohan Sarkar, Avinash Kak
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin, Tian Xie, Yang Liu et al.
A Deep Network for Object Detection on Inland Waters
Dennis Griesser, Bastian Goldluecke, Matthias O. Franz et al.
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
Jingyi Liao, Yongyi Su, Rong-Cheng Tu et al.
A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning
Yeo Jin Kim, Daeun Hong, Tianshu Wang et al.
A Differential Perspective on Distributional Reinforcement Learning
Juan Sebastian Rojas, Chi-Guhn Lee
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
Puzhen Wu, Hexin Dong, Yi Lin et al.
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
Marco Martinelli, Stefano Marchesin, Vanessa Bonato et al.
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.