Papers
Focus of Attention Improves Information Transfer in Visual Features
Matteo Tiezzi, Stefano Melacci, Alessandro Betti et al.
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games
Arun Suggala, Praneeth Netrapalli
Forethought and Hindsight in Credit Assignment
Veronica Chelu, Doina Precup, Hado P van Hasselt
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis GonzalezBello, Munchurl Kim
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall et al.
Fourier Sparse Leverage Scores and Approximate Kernel Learning
Tamas Erdelyi, Cameron Musco, Christopher Musco
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic, Karan Shah, Freddie Witherden
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics
Alex Tseng, Avanti Shrikumar, Anshul Kundaje
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Yonggan Fu, Haoran You, Yang Zhao et al.
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel, Adam Klivans, Frederic Koehler
From Finite to Countable-Armed Bandits
Anand Kalvit, Assaf J. Zeevi
From Predictions to Decisions: Using Lookahead Regularization
Nir Rosenfeld, Anna Hilgard, Sai Srivatsa Ravindranath et al.
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami, Albert Gu, Vaggos Chatziafratis et al.
FrugalML: How to use ML Prediction APIs more accurately and cheaply
Lingjiao Chen, Matei Zaharia, James Y Zou
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou, Chenglei Wu, Zimo Li et al.
Fully Dynamic Algorithm for Constrained Submodular Optimization
Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard et al.
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg, Yingyu Liang
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai, Guokun Lai, Yiming Yang et al.
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang, Bin Dai, David P. Wipf et al.
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner, Igor Mordatch, Sergey Levine
GAN Memory with No Forgetting
Yulai Cong, Miaoyun Zhao, Jianqiao Li et al.
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen et al.
Gaussian Gated Linear Networks
David Budden, Adam Marblestone, Eren Sezener et al.
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Vu Nguyen, Vaden Masrani, Rob Brekelmans et al.