Papers
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li, Yongzhang Tan, Siyuan Yang et al.
Adaptive Deep Learning from Crowds
Hang Yang, Zhiwu Li, Witold Pedrycz
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen, Vivek Hebbar, Caleb Larson et al.
Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing
Yifan Lu, Jing Li, Yigeng Zhou et al.
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Shao-Bo Lin, Xiaotong Liu, Di Wang et al.
Adaptive Draft-Verification for Efficient Large Language Model Decoding
Xukun Liu, Bowen Lei, Ruqi Zhang et al.
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
Hang Xu, Jie Huang, Wei Yu et al.
Adaptive Dual-domain Learning for Underwater Image Enhancement
Lintao Peng, Liheng Bian
Adaptive Dual Guidance Knowledge Distillation
Tong Li, Long Liu, Kang Liu et al.
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
Zixuan Hu, Dongxiao Li, Xinzhu Ma et al.
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
Wonjeong Choi, Do-Yeon Kim, Jungwuk Park et al.
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
Lei Tang, Jinghui Qin, Wenxuan Ye et al.
Adaptive Gradient Clipping for Robust Federated Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta et al.
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
Jiaqiang Jiang, Lei Wang, Runhao Jiang et al.
Adaptive-Grained Label Distribution Learning
Yunan Lu, Weiwei Li, Dun Liu et al.
Adaptive Graph Unlearning
Pengfei Ding, Yan Wang, Guanfeng Liu et al.
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models
Angela Castillo, Jonas Kohler, Juan C. Pérez et al.
Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections
Youwei Zhou, Tianyang Xu, Cong Wu et al.
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly
Ishani Mondal, Michelle Yuan, Anandhavelu N et al.
Adaptive Keyframe Sampling for Long Video Understanding
Xi Tang, Jihao Qiu, Lingxi Xie et al.
Adaptive Language-Aware Image Reflection Removal Network
Siyan Fang, Yuntao Wang, Jinpu Zhang et al.
Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation
Tao Lei, Ziyao Yang, Xingwu Wang et al.
Adaptive Length Image Tokenization via Recurrent Allocation
Shivam Duggal, Phillip Isola, Antonio Torralba et al.