Few-shot learning aims to correctly recognize query samples from unseen classes given a limited number of support samples, often by relying on global embeddings of images. In this paper, we propose to equip the backbone network with an attention agent, which is trained by reinforcement learning. The policy gradient algorithm is employed to train the agent towards adaptively localizing the representative regions on feature maps over time. We further design a reward function based on the prediction of the held-out data, thus helping the attention mechanism to generalize better across the unseen classes. The extensive experiments show, with the help of the reinforced attention, that our embedding network has the capability to progressively generate a more discriminative representation in few-shot learning. Moreover, experiments on the task of image classification also show the effectiveness of the proposed design.
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
University of New South Wales（新南威尔士大学）；University of Technology Sydney（悉尼科技大学）；University of California San Diego（加州大学圣迭戈分校）；RMIT University（皇家墨尔本理工大学）
Knowing Beyond the Known: Reinforced Knowledge Specification for Multi-Label Class-Incremental Learning
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）；Nankai University（南开大学）；Tsinghua University（清华大学）；Harbin Institute of Technology（哈尔滨工业大学）
Bookworm continual learning: beyond zero-shot learning and continual learning
Computer Vision Center, Autonomous University of Barcelona (UAB)（巴塞罗那自治大学计算机视觉中心）；Computer Vision and Machine Learning, University of Exeter（埃克塞特大学计算机视觉与机器学习）
Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification
School of Artificial Intelligence and the National Engineering Laboratory of Big Data System Computing Technology, Shenzhen University（人工智能学院和大数据系统计算技术国家工程实验室，深圳大学）；School of Biomedical Engineering, Shenzhen University Medical School（生物医学工程学院，深圳大学医学院）
MedAD-R1: Consistency-Reinforced Policy Optimization for Interpretable Medical Anomaly Detection
School of Informatics, Xiamen University（厦门大学信息学院）；Institute of Artificial Intelligence, Xiamen University（厦门大学人工智能研究院）；Zhejiang Expressway Co., Ltd.（浙江高速公路有限公司）；School of Science and Engineering, Chinese University of Hong Kong（香港中文大学科学与工程学院）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition
School of Information Science and Electronic Engineering, Shanghai Jiao Tong University（上海交通大学信息科学与电子工程学院）；MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University（上海交通大学人工智能教育部重点实验室）；The University of Tokyo（东京大学）；Shanghai AI Laboratory（上海人工智能实验室）；E-surfing Vision Technology Co., Ltd（亿欧视觉科技有限公司）
The Pictorial Cortex: Zero-Shot Cross-Subject fMRI-to-Image Reconstruction via Compositional Latent Modeling
Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University（脑启发智能科学与技术研究院，复旦大学）；School of Data Science, Fudan University（复旦大学数据科学学院）；Fudan ISTBI–ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University（复旦ISTBI-浙师大脑启发智能算法中心，浙江师范大学）；Shanghai Innovation Institute（上海创新研究院）；Nanyang Technological University（南洋理工大学）
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Beam AI；University of British Columbia（不列颠哥伦比亚大学）；MILA（蒙特利尔学习算法研究所）；Vector Institute（向量研究所）；University of Amsterdam（阿姆斯特丹大学）；Inverted AI；Northeastern University（东北大学）；Google Research（谷歌研究院）；CIFAR（加拿大高等研究院）；Amazon（亚马逊）
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond
The University of Hong Kong（香港大学）；Nanjing University（南京大学）；The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；Shenzhen Research Institute of Big Data（深圳市大数据研究院）
Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation
School of Microelectronics and Communication Engineering, Chongqing University（重庆大学微电子与通信工程学院）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）
Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
State Key Laboratory of Virtual Reality Technology and Systems（虚拟现实技术与系统国家重点实验室）；School of Computer Science and Engineering（计算机科学与工程学院）；Qingdao Research Institute, Beihang University, China（北京航空航天大学青岛研究所，中国）
Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
Wangxuan Institute of Computer Technology, Peking University（北京大学王学轩计算机技术研究所）；School of Electronics Engineering and Computer Science, Peking University（北京大学电子工程与计算机科学学院）
Beyond the Individual: Introducing Group Intention Forecasting with SHOT Dataset
National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, School of Computer Science（国家多媒体软件工程研究中心、人工智能研究所、计算机科学学院）；Tsinghua University（清华大学）；School of Mathematical Sciences, Peking University（北京大学数学科学学院）；National Engineering Research Center for Multimedia Software, School of Computer Science（国家多媒体软件工程研究中心、计算机科学学院）；School of Computer Science, Peking University（北京大学计算机科学学院）；State Key Laboratory for Multimedia Information Processing（多媒体信息处理国家重点实验室）；School of Computing, National University of Singapore（新加坡国立大学计算机学院）；Hubei Key Laboratory of Transportation Internet of Things, School of Computer Science and Artificial Intelligence（湖北交通物联网重点实验室、计算机科学与人工智能学院）；Wuhan University of Technology（武汉理工大学）
Beyond Templates: Revisiting Zero-Shot Remote Sensing through Meta-Prompting
Remote Sensing Lab, National Technical University of Athens（遥感实验室，国家技术大学雅典分校）；Remote Sensing Lab, Department of Engineering and Sciences, National Technical University of Athens（遥感实验室，工程与科学系，国家技术大学雅典分校）；Universitas Mercatorum（默卡托大学）
Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；National University of Singapore（新加坡国立大学）；Zhejiang University（浙江大学）；Nanjing University of Posts and Telecommunications（南京邮电大学）
