Label Smoothing is a Pragmatic Information Bottleneck | Paper Citation Record

Observation eb2143af-7bde-4b3f-912e-d4079d7d27b8 · outbound

This paper cites Emergence of invariance and disentanglement in deep representations.

Label Smoothing is a Pragmatic Information Bottleneck Emergence of invariance and disentanglement in deep representations

Reference 1

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Observation d8d93e63-1d02-47f5-ba6b-62203237f776 · outbound

This paper cites Information dropout: Learning optimal representations through noisy computation.

Label Smoothing is a Pragmatic Information Bottleneck Information dropout: Learning optimal representations through noisy computation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.891129Z

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Observation f28b1ee6-c78b-49da-8a2b-84ae7a30f6a3 · outbound

This paper cites Invariance principle meets information bottleneck for out-of-distribution generalization.

Label Smoothing is a Pragmatic Information Bottleneck Invariance principle meets information bottleneck for out-of-distribution generalization

Reference 3

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Observation 2d68418f-43a6-4c48-b18e-16876cd3d06c · outbound

This paper cites Deep variational information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck Deep variational information bottleneck

Reference 4

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Observation 7f843e5a-3d0e-420d-ae10-85511e1d8561 · outbound

This paper cites Uncertainty in the variational information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck Uncertainty in the variational information bottleneck

Reference 5

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Observation acf14b50-b58f-4bb5-b228-69c8e1baa941 · outbound

This paper cites Recognition in Terra Incognita.

Label Smoothing is a Pragmatic Information Bottleneck Recognition in Terra Incognita

Reference 6

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This paper cites An investigation of how label smoothing affects generalization.

Label Smoothing is a Pragmatic Information Bottleneck An investigation of how label smoothing affects generalization

Reference 7

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Observation 976c41bb-a8d5-4a8a-9b08-af8312970452 · outbound

This paper cites For better or for worse? learning minimum variance features with label augmentation.

Label Smoothing is a Pragmatic Information Bottleneck For better or for worse? learning minimum variance features with label augmentation

Reference 8

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Observation 73bf8c0b-9059-485d-ac12-4d2dea7bf789 · outbound

This paper cites Towards better decoding and language model integration in sequence to sequence models.

Label Smoothing is a Pragmatic Information Bottleneck Towards better decoding and language model integration in sequence to sequence models

Reference 9

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Observation b27723c6-0534-40f2-b972-7cfa89928818 · outbound

This paper cites ImageNet : A large-scale hierarchical image database.

Label Smoothing is a Pragmatic Information Bottleneck ImageNet : A large-scale hierarchical image database

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.755005Z

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This paper cites The conditional entropy bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck The conditional entropy bottleneck

Reference 11

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Observation 9fc56c9d-3a77-47dc-b99f-165adacfe28c · outbound

This paper cites Learning better structured representations using low-rank adaptive label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Learning better structured representations using low-rank adaptive label smoothing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.713803Z

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Observation 626c54ba-4085-4a84-a413-1b166122ed35 · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

Label Smoothing is a Pragmatic Information Bottleneck Escaping the Big Data Paradigm with Compact Transformers

Reference 13

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Observation 6f4b6288-dab6-4a4f-8b31-eca305d19075 · outbound

This paper cites Deep residual learning for image recognition.

Label Smoothing is a Pragmatic Information Bottleneck Deep residual learning for image recognition

Reference 14

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Observation 64576f47-047e-4770-be80-0aa0165aaa34 · outbound

This paper cites Distilling the knowledge in a neural network.

Label Smoothing is a Pragmatic Information Bottleneck Distilling the knowledge in a neural network

Reference 15

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Observation 43dbf8a5-ed9b-461f-b938-dbca945dbf56 · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Label Smoothing is a Pragmatic Information Bottleneck Multilayer feedforward networks are universal approximators

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.647577Z

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Observation bb4eb428-d17f-475f-a1fc-ad5a2f554030 · outbound

This paper cites GPipe : Efficient training of giant neural networks using pipeline parallelism.

Label Smoothing is a Pragmatic Information Bottleneck GPipe : Efficient training of giant neural networks using pipeline parallelism

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.630035Z

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Observation 8340f0c7-e9a8-446c-a714-c4d8eb84f872 · outbound

This paper cites How does information bottleneck help deep learning? arXiv [cs.LG], pp.\ 16049--16096, May 2023.

Label Smoothing is a Pragmatic Information Bottleneck How does information bottleneck help deep learning? arXiv [cs.LG], pp.\ 16049--16096, May 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.610192Z

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Observation 8d3ea4ff-6aa8-4ad2-9b2f-6821dadc3e3a · outbound

This paper cites Auto-encoding variational bayes.

Label Smoothing is a Pragmatic Information Bottleneck Auto-encoding variational bayes

Reference 19

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Observation 584d7997-3b96-4a1a-b854-5ecfb9dd958b · outbound

This paper cites Caveats for information bottleneck in deterministic scenarios.

Label Smoothing is a Pragmatic Information Bottleneck Caveats for information bottleneck in deterministic scenarios

Reference 20

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Observation a21e9d5f-25fe-425a-9a76-854eef18a6f0 · outbound

This paper cites Nonlinear information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck Nonlinear information bottleneck

Reference 21

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This paper cites Why do better loss functions lead to less transferable features? arXiv [cs.CV], October 2020.

Label Smoothing is a Pragmatic Information Bottleneck Why do better loss functions lead to less transferable features? arXiv [cs.CV], October 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.515287Z

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

Label Smoothing is a Pragmatic Information Bottleneck Learning multiple layers of features from tiny images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.490346Z

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Observation a88195d9-30ce-4a5b-a78a-c0b5bd7f0d13 · outbound

This paper cites Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training.

Label Smoothing is a Pragmatic Information Bottleneck Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training

Reference 24

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This paper cites Exploring the trade-off in the variational information bottleneck for regression with a single training run.

Label Smoothing is a Pragmatic Information Bottleneck Exploring the trade-off in the variational information bottleneck for regression with a single training run

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.460458Z

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This paper cites Lagrangian relaxation.

Label Smoothing is a Pragmatic Information Bottleneck Lagrangian relaxation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.440078Z

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Observation 50ef083d-792b-469e-9b5a-b4d9a6f8d113 · outbound

This paper cites Invariant information bottleneck for domain generalization.

Label Smoothing is a Pragmatic Information Bottleneck Invariant information bottleneck for domain generalization

Reference 27

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Observation 09c87dc6-1f98-493b-ae50-ae9c1dceff70 · outbound

This paper cites Regularization via structural label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Regularization via structural label smoothing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.392678Z

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Observation a1a46ee7-3bdf-4507-83e0-4ca149c429b9 · outbound

This paper cites Understanding instance-level label noise: Disparate impacts and treatments.

Label Smoothing is a Pragmatic Information Bottleneck Understanding instance-level label noise: Disparate impacts and treatments

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.369648Z

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Observation 4628a9dd-c7d6-4c4b-9063-ccf6e5b0125a · outbound

This paper cites A ConvNet for the 2020s.

Label Smoothing is a Pragmatic Information Bottleneck A ConvNet for the 2020s

Reference 30

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This paper cites Does label smoothing mitigate label noise?.

Label Smoothing is a Pragmatic Information Bottleneck Does label smoothing mitigate label noise?

Reference 31

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Observation 5fce11a4-73c1-4fd3-b990-143acbbfb3e2 · outbound

This paper cites Generalized entropy regularization or: There's nothing special about label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Generalized entropy regularization or: There's nothing special about label smoothing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.332250Z

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This paper cites Recurrent models of visual attention.

Label Smoothing is a Pragmatic Information Bottleneck Recurrent models of visual attention

Reference 33

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This paper cites When Does Label Smoothing Help?.

Label Smoothing is a Pragmatic Information Bottleneck When Does Label Smoothing Help?

Reference 34

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This paper cites Automated flower classification over a large number of classes.

Label Smoothing is a Pragmatic Information Bottleneck Automated flower classification over a large number of classes

Reference 35

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This paper cites No language left behind: Scaling human-centered machine translation.

Label Smoothing is a Pragmatic Information Bottleneck No language left behind: Scaling human-centered machine translation

Reference 36

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This paper cites Disentangled information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck Disentangled information bottleneck

Reference 37

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This paper cites Regularizing neural networks by penalizing confident output distributions.

Label Smoothing is a Pragmatic Information Bottleneck Regularizing neural networks by penalizing confident output distributions

Reference 38

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This paper cites Human uncertainty makes classification more robust.

Label Smoothing is a Pragmatic Information Bottleneck Human uncertainty makes classification more robust

Reference 39

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This paper cites The dual information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck The dual information bottleneck

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:25.154022Z

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This paper cites On Variational Bounds of Mutual Information.

Label Smoothing is a Pragmatic Information Bottleneck On Variational Bounds of Mutual Information

Reference 41

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This paper cites Regularized evolution for image classifier architecture search.

Label Smoothing is a Pragmatic Information Bottleneck Regularized evolution for image classifier architecture search

Reference 42

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This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Label Smoothing is a Pragmatic Information Bottleneck Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 43

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This paper cites Learning and generalization with the information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck Learning and generalization with the information bottleneck

Reference 44

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This paper cites The deterministic information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck The deterministic information bottleneck

Reference 45

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This paper cites Rethinking the inception architecture for computer vision.

Label Smoothing is a Pragmatic Information Bottleneck Rethinking the inception architecture for computer vision

Reference 46

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This paper cites Cover and Joy A Thomas.

Label Smoothing is a Pragmatic Information Bottleneck Cover and Joy A Thomas

Reference 47

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This paper cites The information bottleneck method.

Label Smoothing is a Pragmatic Information Bottleneck The information bottleneck method

Reference 48

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This paper cites Attention is all you need.

Label Smoothing is a Pragmatic Information Bottleneck Attention is all you need

Reference 49

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Observation d11424f8-fd7d-4eea-966f-fac8f212e8a0 · outbound

This paper cites The role of the information bottleneck in representation learning.

Label Smoothing is a Pragmatic Information Bottleneck The role of the information bottleneck in representation learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.942928Z

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Observation ee9f7b4b-204c-4366-922f-15d98d413d0b · outbound

This paper cites The role of mutual information in variational classifiers.

Label Smoothing is a Pragmatic Information Bottleneck The role of mutual information in variational classifiers

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.919682Z

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Observation 67d9fb8b-4a0f-4d23-8670-a0a013416044 · outbound

This paper cites Diversifying dialog generation via adaptive label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Diversifying dialog generation via adaptive label smoothing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.901925Z

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This paper cites PAC -bayes information bottleneck.

Label Smoothing is a Pragmatic Information Bottleneck PAC -bayes information bottleneck

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.883341Z

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Observation c31ec419-31e9-4bfa-99c8-8a42918a9d11 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Label Smoothing is a Pragmatic Information Bottleneck Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 54

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This paper cites Towards understanding why label smoothing degrades selective classification and how to fix it.

Label Smoothing is a Pragmatic Information Bottleneck Towards understanding why label smoothing degrades selective classification and how to fix it

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.865961Z

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Observation a1ba8846-5462-4e3e-acaf-3755acf00bc8 · outbound

This paper cites Towards understanding label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Towards understanding label smoothing

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.846353Z

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Observation b283f752-03e4-4613-9e31-5d86234e332f · outbound

This paper cites CoCa : Contrastive captioners are image-text foundation models.

Label Smoothing is a Pragmatic Information Bottleneck CoCa : Contrastive captioners are image-text foundation models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.814409Z

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Observation a6bb95bb-f33e-4096-bf1c-7cc69661c3af · outbound

This paper cites Deep deterministic information bottleneck with matrix-based entropy functional.

Label Smoothing is a Pragmatic Information Bottleneck Deep deterministic information bottleneck with matrix-based entropy functional

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.792488Z

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Observation 272ab95e-2a1d-4796-8fb3-1681e716f5fb · outbound

This paper cites Revisiting knowledge distillation via label smoothing regularization.

Label Smoothing is a Pragmatic Information Bottleneck Revisiting knowledge distillation via label smoothing regularization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.771664Z

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Observation 39e10cfa-cde0-4f6f-807b-5cacb4c64599 · outbound

This paper cites Efficient defenses against adversarial attacks.

Label Smoothing is a Pragmatic Information Bottleneck Efficient defenses against adversarial attacks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.745687Z

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Observation 50aa38d4-21ad-40c5-a1e7-4c2beb04adfa · outbound

This paper cites Delving deep into label smoothing.

Label Smoothing is a Pragmatic Information Bottleneck Delving deep into label smoothing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.719304Z

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Observation 83070181-5f81-4fc3-91f1-e937b196c01f · outbound

This paper cites Learning transferable architectures for scalable image recognition.

Label Smoothing is a Pragmatic Information Bottleneck Learning transferable architectures for scalable image recognition

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:35:24.698275Z

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Observation 52f1ef79-5643-4027-9b99-2ed9e5850cef · outbound

This paper cites write newline.

Label Smoothing is a Pragmatic Information Bottleneck write newline

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T17:35:24.414805Z

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