Papers
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen et al.
f-Divergence Variational Inference
Neng Wan, Dapeng Li, NAIRA HOVAKIMYAN
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal, Daniel R. Sheldon, Justin Domke
Dual-Resolution Correspondence Networks
Xinghui Li, Kai Han, Shuda Li et al.
Statistical Optimal Transport posed as Learning Kernel Embedding
Saketha Nath Jagarlapudi, Pratik Kumar Jawanpuria
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch, Oleh Rybkin, Frederik Ebert et al.
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko, Ahmed Khaled, Peter Richtarik
Neural Execution Engines: Learning to Execute Subroutines
Yujun Yan, Kevin Swersky, Danai Koutra et al.
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey et al.
Succinct and Robust Multi-Agent Communication With Temporal Message Control
Sai Qian Zhang, Qi Zhang, Jieyu Lin
Continuous Surface Embeddings
Natalia Neverova, David Novotny, Marc Szafraniec et al.
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
Weishi Shi, Xujiang Zhao, Feng Chen et al.
Co-Tuning for Transfer Learning
Kaichao You, Zhi Kou, Mingsheng Long et al.
Online Non-Convex Optimization with Imperfect Feedback
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos et al.
Understanding Global Feature Contributions With Additive Importance Measures
Ian Covert, Scott M Lundberg, Su-In Lee
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder, Vu Nguyen, Stephen J. Roberts
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg, Yingyu Liang
Directional convergence and alignment in deep learning
Ziwei Ji, Matus J. Telgarsky
Calibrated Reliable Regression using Maximum Mean Discrepancy
Peng Cui, Wenbo Hu, Jun Zhu
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
Theofanis Karaletsos, Thang D Bui
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
Yuanbiao Gou, Boyun Li, Zitao Liu et al.
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
Wei Hu, Lechao Xiao, Ben Adlam et al.
Adversarial Sparse Transformer for Time Series Forecasting
Sifan Wu, Xi Xiao, Qianggang Ding et al.