Papers
Hierarchically Decoupled Imitation For Morphological Transfer
Donald Hejna, Lerrel Pinto, Pieter Abbeel
Hierarchical Verification for Adversarial Robustness
Cong Han Lim, Raquel Urtasun, Ersin Yumer
High-dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng, Ilias Diakonikolas, Rong Ge et al.
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
Kaiyi Ji, Zhe Wang, Bowen Weng et al.
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel, Kevin Roth, Bastiaan Veeling et al.
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan, David Sussillo
How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar, Sagar Kale, Sivaramakrishnan Natarajan Ramamoorthy
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay, Joern-Henrik Jacobsen, Levon Nurbekyan et al.
Hypernetwork approach to generating point clouds
Przemysław Spurek, Sebastian Winczowski, Jacek Tabor et al.
Identifying Statistical Bias in Dataset Replication
Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang, Qicheng Lao, Stan Matwin et al.
Implicit competitive regularization in GANs
Florian Schaefer, Hongkai Zheng, Animashree Anandkumar
Implicit differentiation of Lasso-type models for hyperparameter optimization
Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel et al.
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Mingjie Li, Lingshen He, Zhouchen Lin
Implicit Generative Modeling for Efficient Exploration
Neale Ratzlaff, Qinxun Bai, Li Fuxin et al.
Implicit Geometric Regularization for Learning Shapes
Amos Gropp, Lior Yariv, Niv Haim et al.
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Tanner Fiez, Benjamin Chasnov, Lillian Ratliff
Implicit Regularization of Random Feature Models
Arthur Jacot, Berfin Simsek, Francesco Spadaro et al.
Improved Optimistic Algorithms for Logistic Bandits
Louis Faury, Marc Abeille, Clement Calauzenes et al.
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
Aadirupa Saha, Pierre Gaillard, Michal Valko
Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg et al.
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin, Yi-Fu Wu, Skand Peri et al.
Improving Molecular Design by Stochastic Iterative Target Augmentation
Kevin Yang, Wengong Jin, Kyle Swanson et al.