Papers
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma, Pengfei Fang, Tom Drummond et al.
AdaptivePose: Human Parts as Adaptive Points
Yabo Xiao, Xiao Juan Wang, Dongdong Yu et al.
Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract)
Yiwei Lyu, Wenhao Luo, John M. Dolan
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy
Fan-Ming Luo, Shengyi Jiang, Yang Yu et al.
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Andrea Baisero, Yuchen Xiao et al.
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)
Eiman AlNuaimi, Elia Cereda, Rafail Psiakis et al.
A Demonstration of Compositional, Hierarchical Interactive Task Learning
Aaron Mininger, John E. Laird
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract)
Xiuyu Huang, Nan Zhou, Kup-Sze Choi
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs
Noah Patton, Jihwan Jeong, Mike Gimelfarb et al.
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems
Ali Ugur Guler, Emir Demirović, Jeffrey Chan et al.
Admissible Policy Teaching through Reward Design
Kiarash Banihashem, Adish Singla, Jiarui Gan et al.
Adversarial Attack for Asynchronous Event-Based Data
Wooju Lee, Hyun Myung
Adversarial Bone Length Attack on Action Recognition
Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers
Minjia Zhang, Niranjan Uma Naresh, Yuxiong He
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu et al.
Adversarial Learning from Crowds
Pengpeng Chen, Hailong Sun, Yongqiang Yang et al.
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Salah Ghamizi, Maxime Cordy, Mike Papadakis et al.
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen, Yangfeng Ji
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
Krishna Prasad Neupane, Ervine Zheng, Yu Kong et al.
A Fast Algorithm for PAC Combinatorial Pure Exploration
Noa Ben-David, Sivan Sabato
A Fast Local Search Algorithm for the Latin Square Completion Problem
Shiwei Pan, Yiyuan Wang, Minghao Yin
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
Yihan Hu, Zhuangzhuang Ding, Runzhou Ge et al.
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)
Weijie Zheng, Yufei Liu, Benjamin Doerr
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
Junyi Li, Bin Gu, Heng Huang