AutoGAN: Neural Architecture Search for Generative Adversarial Networks | Paper Citation Record

Observation 409c8dba-8178-4612-bcd3-c2945bcabe47 · outbound

This paper cites MaskConnect - Con- nectivity Learning by Gradient Descent.ECCV, cs.CV , 2018.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks MaskConnect - Con- nectivity Learning by Gradient Descent.ECCV, cs.CV , 2018

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.132042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19fd5f4f-7419-4e27-9a8d-2a6ae78c3308 · outbound

This paper cites Towards Principled Methods for Training Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Towards Principled Methods for Training Generative Adversarial Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.889782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 341a84c5-2ea3-4814-bbb0-28e07e4a767a · outbound

This paper cites Wasserstein generative adversarial networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Wasserstein generative adversarial networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.119200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f8667ba-5c11-4884-af58-747f249e55d3 · outbound

This paper cites Designing Neural Network Architectures using Reinforcement Learning.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Designing Neural Network Architectures using Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.899684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab24be0-7c8a-48be-950d-da5d5b139809 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.904346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05207827-0929-4371-80fa-e08c3f0c660c · outbound

This paper cites Neural Photo Editing with Introspective Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Neural Photo Editing with Introspective Adversarial Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.908772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350fcaa0-11df-4598-ada3-e7cfa9a47b02 · outbound

This paper cites Searching for efﬁcient multi-scale archi- tectures for dense image prediction.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Searching for efﬁcient multi-scale archi- tectures for dense image prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.106538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a51b4b5f-ef33-46cd-b18b-bb212c13b9fb · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.918146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578c79e0-3c8c-4d4a-884c-73ce757c51bc · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.922435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e8e60d-e5f3-4973-84e6-70eb01b8aea8 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.927227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427944ba-c2db-4d94-b094-f92d81ed4c2f · outbound

This paper cites Generative adversarial nets.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Generative adversarial nets

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.931950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09570852-dcf0-490c-b66e-2364d3b5bed6 · outbound

This paper cites Class-Splitting Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Class-Splitting Generative Adversarial Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.936095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13b9d91-7c14-4fb2-9d30-fa19fbb71f96 · outbound

This paper cites Improved training of wasserstein gans.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Improved training of wasserstein gans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.076569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca5fa5f7-f535-4e94-af4d-ee03ced7e5da · outbound

This paper cites Prob- gan: Towards probabilistic gan with theoretical guarantees.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Prob- gan: Towards probabilistic gan with theoretical guarantees

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.062945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08ff0c2c-7c34-4933-938f-7b17a360f5ca · outbound

This paper cites Deep residual learning for image recognition.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Deep residual learning for image recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.947646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c74d9b-4dad-4c8a-90f2-70c60eb2db60 · outbound

This paper cites Identity mappings in deep residual networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Identity mappings in deep residual networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.952769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05055fce-3d8b-43bf-aef0-7ecbe8f3999a · outbound

This paper cites Amc: Automl for model compression and ac- celeration on mobile devices.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Amc: Automl for model compression and ac- celeration on mobile devices

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.034373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a5752564-d48f-4484-84ea-6957089629ec · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.961008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd13a4d-05c7-470b-8dee-9df613e20257 · outbound

This paper cites Mgan: Training generative adversarial nets with multiple generators.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Mgan: Training generative adversarial nets with multiple generators

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.022254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6538741-a201-482f-8350-abe0e62e3d06 · outbound

This paper cites Long short-term memory.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Long short-term memory

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.972291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c8ba897-74ad-4ec4-b126-41ec91f02add · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.976773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edba19f2-6a5a-47e1-82b9-152bb07c0889 · outbound

This paper cites Image-to-image translation with conditional adversar- ial networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Image-to-image translation with conditional adversar- ial networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:28.000153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af33799d-c228-4bc1-bcf6-22e1d4661b7f · outbound

This paper cites EnlightenGAN: Deep Light Enhancement without Paired Supervision.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks EnlightenGAN: Deep Light Enhancement without Paired Supervision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.984950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef6a2a3c-ec2c-42a2-aaae-19bfa42c2218 · outbound

This paper cites Auto-keras: Ef- ﬁcient neural architecture search with network morphism, 2018.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Auto-keras: Ef- ﬁcient neural architecture search with network morphism, 2018

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.985601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bd4c822-b041-4ad9-9d5a-f55c0c427d05 · outbound

This paper cites The relativistic discriminator: a key element missing from standard GAN.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks The relativistic discriminator: a key element missing from standard GAN

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:26.993892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8b724f-37e5-4357-a423-c6809d45ed1a · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Progressive growing of gans for improved quality, stability, and variation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.971257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f3f361c1-9437-401d-bc2a-64e228164d3c · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.002788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9113298c-0405-43dc-9f21-d3eff8d67912 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.007189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49af8288-4086-41c6-8298-df5aa431b647 · outbound

This paper cites Learning multiple layers of features from tiny images.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Learning multiple layers of features from tiny images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.011426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ddf822-1d3f-44fb-829e-66d0e60936f1 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural net- works.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Imagenet classiﬁcation with deep convolutional neural net- works

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.015358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d48a16-b2f7-4663-b69e-bc3febeac76a · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Deblurgan: Blind motion deblurring using conditional adversarial networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.019004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3102d0ac-9dd0-4b59-8f6e-c99f24025417 · outbound

This paper cites A Large-Scale Study on Regularization and Normalization in GANs.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks A Large-Scale Study on Regularization and Normalization in GANs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.022681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48003381-5217-4744-8128-c74f70a88b28 · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.928742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84ef1d3b-6074-405d-81c4-df404635b805 · outbound

This paper cites Random search and repro- ducibility for neural architecture search.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Random search and repro- ducibility for neural architecture search

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.912603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f34c118-1e39-4544-997b-ef35ee8a0d6a · outbound

This paper cites Feature pyramid networks for object detection.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Feature pyramid networks for object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.898870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 807103f2-8c86-431d-add8-e4f1c7ccdccb · outbound

This paper cites Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.040167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e30b27f-e15f-45c8-9504-b66bf1ddd4ca · outbound

This paper cites Progressive Neural Architecture Search.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Progressive Neural Architecture Search

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.885800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a7e643c-8496-4a7d-890e-0fee87a51221 · outbound

This paper cites DARTS: Differentiable Architecture Search.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks DARTS: Differentiable Architecture Search

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.048337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3503f1-761c-4825-a780-107337aec3f5 · outbound

This paper cites Are gans created equal? a large-scale study.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Are gans created equal? a large-scale study

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.869236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edc99275-c45a-4508-bd09-5505c2ab188a · outbound

This paper cites Multi-task Sequence to Sequence Learning.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Multi-task Sequence to Sequence Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.057100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a581a981-b8c4-4c26-b319-4d1b3e9d4fe3 · outbound

This paper cites Conditional Generative Adversarial Nets.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Conditional Generative Adversarial Nets

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.061351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d346c09-648e-408e-b4a5-4ecba22a7ca1 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Spectral Normalization for Generative Adversarial Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.066216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d400c10-82fa-4190-a752-4b19e8a2ee3c · outbound

This paper cites Stacked hour- glass networks for human pose estimation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Stacked hour- glass networks for human pose estimation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.853818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b6691e0-b339-4523-92cf-209fcc79d2ab · outbound

This paper cites Dual dis- criminator generative adversarial nets.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Dual dis- criminator generative adversarial nets

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.838462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e0d1a4a-a377-41d4-b9df-74f217600d35 · outbound

This paper cites De- convolution and checkerboard artifacts.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks De- convolution and checkerboard artifacts

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.823938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b179f264-6851-408e-8261-88cf89545885 · outbound

This paper cites Efﬁcient Neural Architecture Search via Parameter Sharing.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Efﬁcient Neural Architecture Search via Parameter Sharing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.809263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f0665ee-0f58-43bf-ac4e-a6a1af214ac7 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.087153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b832c7d5-69b2-427c-b869-e05f1d822436 · outbound

This paper cites Generative adversarial text to image synthesis.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Generative adversarial text to image synthesis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.795340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06a3465d-0def-4273-84f9-2c2adfb8cfb6 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks U- net: Convolutional networks for biomedical image segmen- tation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.095505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f1a8747-0565-466d-8974-8cfde932718e · outbound

This paper cites Improved techniques for training gans.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Improved techniques for training gans

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.772615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7dba6048-385a-411e-a1ae-8831d1c58895 · outbound

This paper cites Going deeper with convolutions.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Going deeper with convolutions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.103876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf5c3a8-95ec-48aa-b061-217be3d31dbf · outbound

This paper cites Rethinking the inception archi- tecture for computer vision.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Rethinking the inception archi- tecture for computer vision

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.108481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d55723b-7a63-443e-ac55-c32c57fa8d46 · outbound

This paper cites Hierarchical Implicit Models and Likelihood-Free Variational Inference.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Hierarchical Implicit Models and Likelihood-Free Variational Inference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.112565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402fd821-9054-4066-be71-a07e3bd50edd · outbound

This paper cites Dist-gan: An improved gan using distance constraints.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Dist-gan: An improved gan using distance constraints

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.743139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d258e9cd-b97f-4220-8040-5a065de2cc08 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.120622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528e5bf2-29c1-4097-89fb-1a773e963bae · outbound

This paper cites Improving MMD-GAN Training with Repulsive Loss Function.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Improving MMD-GAN Training with Repulsive Loss Function

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:06:27.333291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2469af85-605a-4947-ab81-b61dcffbb926 · outbound

This paper cites Studying very low resolution recogni- tion using deep networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Studying very low resolution recogni- tion using deep networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.730867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae178d96-2cca-41f4-bd55-2566b275c6c9 · outbound

This paper cites Improving gen- erative adversarial networks with denoising feature match- ing.(2017).

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Improving gen- erative adversarial networks with denoising feature match- ing.(2017)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.716357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6cdd04b-c25e-4ef5-9cec-6cfdab4cf611 · outbound

This paper cites Simple statistical gradient-following al- gorithms for connectionist reinforcement learning.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Simple statistical gradient-following al- gorithms for connectionist reinforcement learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.703967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9205925-ddbf-4b7a-99a6-a0a8cec10b6b · outbound

This paper cites Genetic cnn.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Genetic cnn

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.691484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09d5bbe1-5155-410c-80e4-9e45c3103216 · outbound

This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Attngan: Fine- grained text to image generation with attentional generative adversarial networks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.678948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9359d41-164f-4590-b647-745076493321 · outbound

This paper cites LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:06:27.316848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 521c9c68-54be-42b4-9e46-9e7f816b2226 · outbound

This paper cites Controllable Artistic Text Style Transfer via Shape-Matching GAN.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Controllable Artistic Text Style Transfer via Shape-Matching GAN

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:06:27.299515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 411a4dfa-69b2-4719-8549-ddd6cb7d99e4 · outbound

This paper cites Self-Attention Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Self-Attention Generative Adversarial Networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.158973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94362dbd-3c60-4ebf-8a67-c3ad143162bd · outbound

This paper cites StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.163028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1395a7f7-01bb-4ae5-9923-ba262002c457 · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.665905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba75e642-8f85-468e-aeed-429a9be910f8 · outbound

This paper cites Dada: Deep adversarial data augmentation for ex- tremely low data regime classiﬁcation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Dada: Deep adversarial data augmentation for ex- tremely low data regime classiﬁcation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.653257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01b6580a-5f73-48e8-9bcd-202dbdad7c65 · outbound

This paper cites Energy-based Generative Adversarial Network.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Energy-based Generative Adversarial Network

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.176408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80880f5f-1972-4009-8e0e-e2b4df0a4ce1 · outbound

This paper cites Practical block-wise neural network architecture gener- ation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Practical block-wise neural network architecture gener- ation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.640872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 00f80a6c-cb7f-4561-a155-f36e8ca7ab1c · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle- Consistent Adversarial Networks.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Unpaired Image-to-Image Translation using Cycle- Consistent Adversarial Networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.628331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f3ff6c21-1979-482e-baa8-30b0391f6726 · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Neural Architecture Search with Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.189297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff1e94e-2283-4cd9-9284-3a4dcaefcb67 · outbound

This paper cites Learning Transferable Architectures for Scalable Image Recognition.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Learning Transferable Architectures for Scalable Image Recognition

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:06:27.615744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26c3f15d-d3d4-454f-8cf7-d716a556fcea · outbound

This paper cites Transfer Learning for Low-Resource Neural Machine Translation.

AutoGAN: Neural Architecture Search for Generative Adversarial Networks Transfer Learning for Low-Resource Neural Machine Translation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T14:06:27.198355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers