Papers
11,951 papers found
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba, Josif Grabocka
Few-Shot Learning via Learning the Representation, Provably
Simon Shaolei Du, Wei Hu, Sham M. Kakade et al.
Fidelity-based Deep Adiabatic Scheduling
Eli Ovits, Lior Wolf
Filtered Inner Product Projection for Crosslingual Embedding Alignment
Vin Sachidananda, Ziyi Yang, Chenguang Zhu
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle, Kevin J. Shih, Ryan Prenger et al.
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Lanqing Li, Rui Yang, Dijun Luo
Follow Your Star: New Frameworks for Online Stochastic Matching with Known and Unknown Patience
Brian Brubach, Nathaniel Grammel, Will Ma et al.
Fooling a Complete Neural Network Verifier
Dániel Zombori, Balázs Bánhelyi, Tibor Csendes et al.
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal, Gal Kaplun, Boaz Barak
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli et al.
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
From Conception to Retirement: a Lifetime Story of a 3-Year-Old Wireless Beacon System in the Wild
Yi Ding, Ling Liu, Yu Yang et al.
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
Mangal Prakash, Alexander Krull, Florian Jug
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
Yangchen Pan, Kirby Banman, Martha White
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
Sungmin Cha, Taeeon Park, Byeongjoon Kim et al.
GANs Can Play Lottery Tickets Too
Xuxi Chen, Zhenyu Zhang, Yongduo Sui et al.
GAN "Steerability" without optimization
Nurit Spingarn, Ron Banner, Tomer Michaeli
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Pim De Haan, Maurice Weiler, Taco Cohen et al.
Generalization bounds via distillation
Daniel Hsu, Ziwei Ji, Matus Telgarsky et al.
Generalization in data-driven models of primary visual cortex
Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke et al.
Generalized Energy Based Models
Michael Arbel, Liang Zhou, Arthur Gretton
Generalized Multimodal ELBO
Thomas M. Sutter, Imant Daunhawer, Julia E Vogt
Generalized Variational Continual Learning
Noel Loo, Siddharth Swaroop, Richard E Turner
Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant, Sijia Liu, Tamara Mitrovska et al.
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee