Papers
In search of robust measures of generalization
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal et al.
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin, Wei-Ming Chen, Yujun Lin et al.
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
Alexander Ritchie, Robert A Vandermeulen, Clayton Scott
Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas, Noor Sajid, Pedro Mediano et al.
Hierarchical Granularity Transfer Learning
Shaobo Min, Hongtao Xie, Hantao Yao et al.
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson, Sören Mindermann, Uri Shalit et al.
Proximal Mapping for Deep Regularization
Mao Li, Yingyi Ma, Xinhua Zhang
Sparse Learning with CART
Jason Klusowski
A polynomial-time algorithm for learning nonparametric causal graphs
Ming Gao, Yi Ding, Bryon Aragam
Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav, Liam Paull
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
Sirisha Rambhatla, Xingguo Li, Jarvis Haupt
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
Zhe Zeng, Paolo Morettin, Fanqi Yan et al.
Deep Smoothing of the Implied Volatility Surface
Damien Ackerer, Natasa Tagasovska, Thibault Vatter
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider, Evgenia Rusak, Luisa Eck et al.
Object-Centric Learning with Slot Attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner et al.
Learning to solve TV regularised problems with unrolled algorithms
Hamza Cherkaoui, Jeremias Sulam, Thomas Moreau
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeong Un Ryu, JaeWoong Shin, Hae Beom Lee et al.
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji, Jason Lee, Yingbin Liang et al.
Adapting to Misspecification in Contextual Bandits
Dylan J Foster, Claudio Gentile, Mehryar Mohri et al.
Coresets for Robust Training of Deep Neural Networks against Noisy Labels
Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
An implicit function learning approach for parametric modal regression
Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand et al.
JAX MD: A Framework for Differentiable Physics
Samuel Schoenholz, Ekin Dogus Cubuk