Papers
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang, Yao Mu, Mingyu Ding et al.
Adapting to game trees in zero-sum imperfect information games
Côme Fiegel, Pierre Menard, Tadashi Kozuno et al.
Adaptive Annealed Importance Sampling with Constant Rate Progress
Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
Shenao Zhang, Wanxin Jin, Zhaoran Wang
Adaptive Compositional Continual Meta-Learning
Bin Wu, Jinyuan Fang, Xiangxiang Zeng et al.
Adaptive Computation with Elastic Input Sequence
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab et al.
Adaptive Coordination in Social Embodied Rearrangement
Andrew Szot, Unnat Jain, Dhruv Batra et al.
Adaptive Estimation of Graphical Models under Total Positivity
Jiaxi Ying, José Vinı́cius De Miranda Cardoso, Daniel P. Palomar
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
Mehran Aghabozorgi, Shichong Peng, Ke Li
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Yijun Dong, Yuege Xie, Rachel Ward
Adaptive Smoothing Gradient Learning for Spiking Neural Networks
Ziming Wang, Runhao Jiang, Shuang Lian et al.
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons
Lyndon Duong, David Lipshutz, David Heeger et al.
Additive Causal Bandits with Unknown Graph
Alan Malek, Virginia Aglietti, Silvia Chiappa
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez et al.
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
Ayano Kaneda, Osman Akar, Jingyu Chen et al.
A Distribution Optimization Framework for Confidence Bounds of Risk Measures
Hao Liang, Zhi-Quan Luo
Adversarial Cheap Talk
Chris Lu, Timon Willi, Alistair Letcher et al.
Adversarial Collaborative Learning on Non-IID Features
Qinbin Li, Bingsheng He, Dawn Song
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Chumeng Liang, Xiaoyu Wu, Yang Hua et al.
Adversarial Learning of Distributional Reinforcement Learning
Yang Sui, Yukun Huang, Hongtu Zhu et al.
Adversarially Robust PAC Learnability of Real-Valued Functions
Idan Attias, Steve Hanneke
Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu, Yihan Wang, Xiao-Shan Gao
Adversarial Policies Beat Superhuman Go AIs
Tony Tong Wang, Adam Gleave, Tom Tseng et al.
Adversarial robustness of amortized Bayesian inference
Manuel Gloeckler, Michael Deistler, Jakob H. Macke