Papers
Answering Complex Causal Queries With the Maximum Causal Set Effect
Zachary Markovich
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li, Xixiang Lyu, Nodens Koren et al.
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek Esmaeili, Ilya Mironov, Karthik Prasad et al.
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd, Robert Ashmead, Ryan Cumings-Menon et al.
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard, Eric Guillaume VIDOT, Amaury Habrard et al.
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
Nate Veldt, Austin R Benson, Jon M. Kleinberg
Approximate optimization of convex functions with outlier noise
Anindya De, Sanjeev Khanna, Huan Li et al.
Approximating the Permanent with Deep Rejection Sampling
Juha Harviainen, Antti Röyskö, Mikko Koivisto
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Jonathan Schmidt, Nicholas Krämer, Philipp Hennig
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng et al.
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
Christoph Dann, Mehryar Mohri, Tong Zhang et al.
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech, Matteo Pirotta, Michal Valko et al.
Arbitrary Conditional Distributions with Energy
Ryan Strauss, Junier B Oliva
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand, Rong Ge, Amit Kumar et al.
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
Shangshu Qian, Viet Hung Pham, Thibaud Lutellier et al.
Are Transformers more robust than CNNs?
Yutong Bai, Jieru Mei, Alan L. Yuille et al.
argmax centroid
Chengyue Gong, Mao Ye, Qiang Liu
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini et al.
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Haibo Chen, lei zhao, Zhizhong Wang et al.
A sampling-based circuit for optimal decision making
Camille Rullán Buxó, Cristina Savin
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
Gadi Naveh, Zohar Ringel
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Samuel Deng, Sanjam Garg, Somesh Jha et al.
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan, Xudong XU, Chen Change Loy et al.
A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel et al.
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian, Hasan Hammoud, Guohao Li et al.