Papers
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
A Fusion-Denoising Attack on InstaHide with Data Augmentation
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu et al.
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
Anthony GX-Chen, Veronica Chelu, Blake A. Richards et al.
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Joshua Fan, Junwen Bai, Zhiyun Li et al.
A Goal-Driven Natural Language Interface for Creating Application Integration Workflows
Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti et al.
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data
Yan Li, Rui Xia, Chunchen Liu et al.
AI-Assisted Controls Change Management for Cybersecurity in the Cloud
Harshal Tupsamudre, Arun Kumar, Vikas Agarwal et al.
AI Assisted Data Labeling with Interactive Auto Label
Michael Desmond, Michelle Brachman, Evelyn Duesterwald et al.