当前标签：theoretical

Globally-Robust Neural Networks

馒头and花卷 2021-07-22 18:40 阅读:145 评论:0 推荐:0

Sharpness-Aware Minimization for Efficiently Improving Generalization

馒头and花卷 2021-06-30 17:17 阅读:554 评论:0 推荐:0

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

馒头and花卷 2021-06-07 19:25 阅读:711 评论:0 推荐:0

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

馒头and花卷 2021-06-06 20:21 阅读:257 评论:2 推荐:0

Masked Gradient-Based Causal Structure Learning

馒头and花卷 2021-05-29 20:42 阅读:256 评论:2 推荐:0

DAGs with NO TEARS: Continuous Optimization for Structure Learning

馒头and花卷 2021-05-27 20:32 阅读:2015 评论:2 推荐:0

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

馒头and花卷 2021-05-23 21:15 阅读:288 评论:0 推荐:0

Propensity Scores

馒头and花卷 2021-05-08 19:58 阅读:254 评论:0 推荐:0

Improving Adversarial Robustness Using Proxy Distributions

馒头and花卷 2021-05-05 12:00 阅读:147 评论:0 推荐:0

Interval Bound Propagation (IBP)

馒头and花卷 2021-04-24 21:51 阅读:1668 评论:1 推荐:2

Direct and Indirect Effects

馒头and花卷 2021-04-03 21:26 阅读:705 评论:0 推荐:0

Improving Variational Auto-Encoders using Householder Flow

馒头and花卷 2021-03-28 17:55 阅读:157 评论:0 推荐:0

Variational Inference with Normalizing Flow

馒头and花卷 2021-03-26 18:17 阅读:635 评论:0 推荐:0

ELBO surgery: yet another way to carve up the variational evidence lower bound

馒头and花卷 2021-03-19 17:24 阅读:241 评论:0 推荐:0

Scale-Invariant Error

馒头and花卷 2021-02-06 11:37 阅读:1024 评论:0 推荐:1

A Tutorial on Energy-Based Learning

馒头and花卷 2020-11-29 10:50 阅读:328 评论:0 推荐:0

KMM

馒头and花卷 2020-11-19 20:11 阅读:1006 评论:0 推荐:0

MMD

馒头and花卷 2020-11-19 18:00 阅读:893 评论:0 推荐:0

Certified Adversarial Robustness via Randomized Smoothing

馒头and花卷 2020-09-22 19:34 阅读:998 评论:0 推荐:0

Certified Robustness to Adversarial Examples with Differential Privacy

馒头and花卷 2020-09-14 22:45 阅读:689 评论:0 推荐:0