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Paper Citation Record · LEDGER

Transferability and Hardness of Supervised Classification Tasks

As of 16 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:1908.08142.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.08142 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:53:13.650204Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f495cf6f-df15-44c6-8f38-b169419516b1 · outbound

This paper cites Task2Vec: Task Embedding for Meta-Learning.

Transferability and Hardness of Supervised Classification Tasks Task2Vec: Task Embedding for Meta-Learning

Reference 1

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Observation 2866edf6-94b1-464c-ab01-c827f30a9465 · outbound

This paper cites The Information Complexity of Learning Tasks, their Structure and their Distance.

Transferability and Hardness of Supervised Classification Tasks The Information Complexity of Learning Tasks, their Structure and their Distance

Reference 2

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Observation e786ddd0-a607-431c-90a8-fcee7a4036db · outbound

This paper cites Provable bounds for learning some deep representations.

Transferability and Hardness of Supervised Classification Tasks Provable bounds for learning some deep representations

Reference 3

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Observation 6b749680-ba59-4308-9305-75be5722eeac · outbound

This paper cites Factors of transferability for a generic convnet representation.

Transferability and Hardness of Supervised Classification Tasks Factors of transferability for a generic convnet representation

Reference 4

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Observation 1a0fcace-c9d5-4d00-98a7-6d08606cdeb1 · outbound

This paper cites Regularized learning for domain adaptation under label shifts.

Transferability and Hardness of Supervised Classification Tasks Regularized learning for domain adaptation under label shifts

Reference 5

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Observation a2f86cf1-8f06-49f1-a853-24778f41c51d · outbound

This paper cites A theory of learning from different domains.

Transferability and Hardness of Supervised Classification Tasks A theory of learning from different domains

Reference 6

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Observation 16ba6830-dfb2-4f6c-bdea-1a0d55e5691c · outbound

This paper cites Exploiting task relat- edness for multiple task learning.

Transferability and Hardness of Supervised Classification Tasks Exploiting task relat- edness for multiple task learning

Reference 7

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Observation d4d43c4c-03ad-4e84-8694-2ef5473efab9 · outbound

This paper cites Learning bounds for domain adaptation.

Transferability and Hardness of Supervised Classification Tasks Learning bounds for domain adaptation

Reference 8

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Observation 34838a44-339d-43a1-a4ad-f9b0e7fde97e · outbound

This paper cites an unresolved cited work.

Transferability and Hardness of Supervised Classification Tasks Unresolved cited work

Reference 9

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Observation 234b7ae1-759c-487d-ad23-7e6230427b8a · outbound

This paper cites Faceposenet: Making a case for landmark-free face alignment.

Transferability and Hardness of Supervised Classification Tasks Faceposenet: Making a case for landmark-free face alignment

Reference 10

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Observation ee984f46-a9a0-4d1b-be81-f56ab4612f46 · outbound

This paper cites Deep, landmark-free fame: Face alignment, modeling, and expression estimation.

Transferability and Hardness of Supervised Classification Tasks Deep, landmark-free fame: Face alignment, modeling, and expression estimation

Reference 11

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Observation fc001621-d362-4176-bb7e-8614788c59a2 · outbound

This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Transferability and Hardness of Supervised Classification Tasks MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Reference 12

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Observation b38e97c3-21a1-4bd1-b1c3-60f56d2f89f9 · outbound

This paper cites The loss surfaces of multilayer networks.

Transferability and Hardness of Supervised Classification Tasks The loss surfaces of multilayer networks

Reference 13

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Observation a723fe18-512b-4b26-94f2-d150f059871f · outbound

This paper cites Elements of informa- tion theory.

Transferability and Hardness of Supervised Classification Tasks Elements of informa- tion theory

Reference 14

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Observation 8c4d6a20-3e1b-490f-af5e-8f2c8e7d14fa · outbound

This paper cites On measuring the iconicity of a face.

Transferability and Hardness of Supervised Classification Tasks On measuring the iconicity of a face

Reference 15

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Observation 9412ec4e-1cc1-4700-9576-66d2ce65b586 · outbound

This paper cites Class rectifi- cation hard mining for imbalanced deep learning.

Transferability and Hardness of Supervised Classification Tasks Class rectifi- cation hard mining for imbalanced deep learning

Reference 16

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Observation b633b6a1-4645-4760-9d9a-d875ec91ac81 · outbound

This paper cites Pattern classification.

Transferability and Hardness of Supervised Classification Tasks Pattern classification

Reference 17

Resolution
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Observation 44b8ce3e-804a-4e0b-8eb8-4d998104c0e9 · outbound

This paper cites Learning disentangled joint continuous and discrete representations.

Transferability and Hardness of Supervised Classification Tasks Learning disentangled joint continuous and discrete representations

Reference 18

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Observation 61dbe137-88d3-4e91-ba35-0a3ae50c1187 · outbound

This paper cites Towards a Neural Statistician.

Transferability and Hardness of Supervised Classification Tasks Towards a Neural Statistician

Reference 19

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Observation 59c4959e-72a1-4980-85fd-d92dcbc08077 · outbound

This paper cites Large- scale weakly-supervised pre-training for video action recog- nition.

Transferability and Hardness of Supervised Classification Tasks Large- scale weakly-supervised pre-training for video action recog- nition

Reference 20

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Observation a5097dd3-c007-42cc-b1b7-cd39591de77e · outbound

This paper cites MS-Celeb-1M: A dataset and benchmark for large scale face recognition.

Transferability and Hardness of Supervised Classification Tasks MS-Celeb-1M: A dataset and benchmark for large scale face recognition

Reference 21

Resolution
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Observation 58e97715-34cc-43e8-98a4-a365b4f55745 · outbound

This paper cites Heterogeneous face attribute estimation: A deep multi-task learning approach.

Transferability and Hardness of Supervised Classification Tasks Heterogeneous face attribute estimation: A deep multi-task learning approach

Reference 22

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Observation af04298e-4716-4ddd-8e20-ffc07d71b803 · outbound

This paper cites Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification.

Transferability and Hardness of Supervised Classification Tasks Attributes for improved attributes: A multi-task network utilizing implicit and ex- plicit relationships for facial attribute classification

Reference 23

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Observation 7595d141-2a43-42f3-ac1a-3db3bbe801a2 · outbound

This paper cites Mask r-cnn.

Transferability and Hardness of Supervised Classification Tasks Mask r-cnn

Reference 24

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Observation d3b9ef75-616d-4d01-a380-9b16b9f16ce6 · outbound

This paper cites Deep residual learning for image recognition.

Transferability and Hardness of Supervised Classification Tasks Deep residual learning for image recognition

Reference 25

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Observation fadad058-ab86-4974-8a90-f9c7ad414e70 · outbound

This paper cites Learning deep representation for imbalanced classi- fication.

Transferability and Hardness of Supervised Classification Tasks Learning deep representation for imbalanced classi- fication

Reference 26

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Observation 28c64f3c-7541-47de-917b-d8e438ec31cb · outbound

This paper cites Registration-free face-ssd: Single shot analysis of smiles, fa- cial attributes, and affect in the wild.

Transferability and Hardness of Supervised Classification Tasks Registration-free face-ssd: Single shot analysis of smiles, fa- cial attributes, and affect in the wild

Reference 27

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Observation c432ffe8-16de-4bbf-b53e-22ebf4fd3a3c · outbound

This paper cites Deep cross residual learn- ing for multitask visual recognition.

Transferability and Hardness of Supervised Classification Tasks Deep cross residual learn- ing for multitask visual recognition

Reference 28

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Observation 56f1fb19-04e4-4eae-b15c-ef42f85de724 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

Transferability and Hardness of Supervised Classification Tasks Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 29

Resolution
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Observation c831f97f-9b01-453c-95eb-c07d85f66d84 · outbound

This paper cites Ubernet: Training a universal convo- lutional neural network for low-, mid-, and high-level vi- sion using diverse datasets and limited memory.

Transferability and Hardness of Supervised Classification Tasks Ubernet: Training a universal convo- lutional neural network for low-, mid-, and high-level vi- sion using diverse datasets and limited memory

Reference 30

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Observation d6a70690-7569-4bf7-8a00-a6231e2b0781 · outbound

This paper cites Asymmetric multi-task learning based on task relatedness and loss.

Transferability and Hardness of Supervised Classification Tasks Asymmetric multi-task learning based on task relatedness and loss

Reference 31

Resolution
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Source-reported events for the cited work

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Observation ef2c90dc-211a-4bc1-a673-19c2b0a8eb4c · outbound

This paper cites Age and gender classification us- ing convolutional neural networks.

Transferability and Hardness of Supervised Classification Tasks Age and gender classification us- ing convolutional neural networks

Reference 32

Resolution
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Source-reported events for the cited work

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Observation 89cc983b-3fab-4bf2-bf2a-70aca29e2216 · outbound

This paper cites Exploring disentangled feature represen- tation beyond face identification.

Transferability and Hardness of Supervised Classification Tasks Exploring disentangled feature represen- tation beyond face identification

Reference 33

Resolution
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Source-reported events for the cited work

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Observation 54963ac6-77cf-419e-bc8a-408fc05d949a · outbound

This paper cites Detach and adapt: Learning cross-domain disentangled deep repre- sentation.

Transferability and Hardness of Supervised Classification Tasks Detach and adapt: Learning cross-domain disentangled deep repre- sentation

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 681631ba-a721-47e0-aeb0-fd7463e58ec6 · outbound

This paper cites Deep learning face attributes in the wild.

Transferability and Hardness of Supervised Classification Tasks Deep learning face attributes in the wild

Reference 35

Resolution
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Source-reported events for the cited work

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Observation f860b73a-00c4-426a-b35b-3690a2fe9d8e · outbound

This paper cites Object recognition from local scale-invariant features.

Transferability and Hardness of Supervised Classification Tasks Object recognition from local scale-invariant features

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.381840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.459653Z digest=sha256:4b58c6c1147eb80de721e0ea3059ed23fc537d44b589e8b873633c434f8a6212

Observation 826c7202-2722-4c29-801c-300a55ada868 · outbound

This paper cites Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification.

Transferability and Hardness of Supervised Classification Tasks Fully-adaptive feature shar- ing in multi-task networks with applications in person at- tribute classification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.366640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.464647Z digest=sha256:934fc89142e1f708dc7de22c4393127bb0b364151d327606fd62d543455cc048

Observation c43c0005-46a6-447d-8918-2fe3ec19bd19 · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

Transferability and Hardness of Supervised Classification Tasks Exploring the limits of weakly supervised pretraining

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.351382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.469260Z digest=sha256:533b7f7afac5dd16e0f32b1b9fa782f5035c8dc4d2b15efdf154fa4842e3148d

Observation 94ee9978-28c9-4a1c-ac2c-3efb199ec29c · outbound

This paper cites Domain adaptation: Learning bounds and algorithms.

Transferability and Hardness of Supervised Classification Tasks Domain adaptation: Learning bounds and algorithms

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.336084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.475310Z digest=sha256:2faa900a90146bd0d0b99f53b3d482e25ffc7890c21e86036d1f98568dd6c3c1

Observation d5c2596d-d73b-4d53-8ef0-c8610338484d · outbound

This paper cites an unresolved cited work.

Transferability and Hardness of Supervised Classification Tasks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:53:14.321485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.479976Z digest=sha256:9d965d4583c58a87c4327181101e508f187eb1261e4dbb973e67952b7fe8197e

Observation 1885897d-85ee-456b-861c-01baa45ed21c · outbound

This paper cites Face-specific data augmentation for un- constrained face recognition.

Transferability and Hardness of Supervised Classification Tasks Face-specific data augmentation for un- constrained face recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.306152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.484614Z digest=sha256:cc9a69283ca3945359343b61547d7c63923bb07c2a837275e057d8b90f0844e5

Observation bac0dc2c-96f2-4dfa-adef-de22fa1cd7e7 · outbound

This paper cites On the method of bounded differences.

Transferability and Hardness of Supervised Classification Tasks On the method of bounded differences

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.290846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.489374Z digest=sha256:8718a1b71b331d3c99325ea4f8dea8a1e797791bab1d426939de1bae6beab82a

Observation 0b500718-209a-4fef-8296-2d99662bbde8 · outbound

This paper cites Cross-stitch networks for multi-task learning.

Transferability and Hardness of Supervised Classification Tasks Cross-stitch networks for multi-task learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.275790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.494171Z digest=sha256:7cd58d1bc29699e945a1b5e0fc2fc461cb1eccae1b961037cbe72062426f19aa

Observation b6c9ab9b-a7c0-4e1d-8b07-69f944d2a140 · outbound

This paper cites Toward Understanding Catastrophic Forgetting in Continual Learning.

Transferability and Hardness of Supervised Classification Tasks Toward Understanding Catastrophic Forgetting in Continual Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T11:53:13.498902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:53:13.498902Z digest=sha256:2c6e5db6789ee86d0bce6357de7f456bee8d1836c2143b15a8096efc836b29ae

Observation aad7a9a9-c0c4-45d6-91d8-47d6d3e4dfa2 · outbound

This paper cites Variational continual learning.

Transferability and Hardness of Supervised Classification Tasks Variational continual learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.260342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.504417Z digest=sha256:e1dc89937bb8ae4fe3a3ad0c638dd6b84119e79e42336167f2394ced0aab6e6b

Observation e1dce87e-5bec-4a10-a855-c8971b780aa2 · outbound

This paper cites The loss surface of deep and wide neural networks.

Transferability and Hardness of Supervised Classification Tasks The loss surface of deep and wide neural networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.244124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.509087Z digest=sha256:648506e4bbd6fac69a9d1524dcce1d88b10c4fdda32ec7bbe5bb6c4281b6a6e0

Observation f75e528e-a9c6-45a6-8106-6bf092823ed6 · outbound

This paper cites On face segmentation, face swapping, and face perception.

Transferability and Hardness of Supervised Classification Tasks On face segmentation, face swapping, and face perception

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.227833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.513728Z digest=sha256:854a6d269856d62ceab4b8ead86aa3719ea7f1afdae88f76fb5b51b8141c3b86

Observation 2b8aca7d-9127-4710-beaa-9eaae02b97da · outbound

This paper cites A survey on transfer learn- ing.

Transferability and Hardness of Supervised Classification Tasks A survey on transfer learn- ing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.211451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.518405Z digest=sha256:61971e5862594923c5ce93d18af47be9ba4438f07b8fc4a4c5f1688e5f5ad6f6

Observation 0d23a104-ac18-447d-946d-a7a18ede19a3 · outbound

This paper cites Pedregosa, G.

Transferability and Hardness of Supervised Classification Tasks Pedregosa, G

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.195508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.523328Z digest=sha256:5ed3b9188d47637d7e5f639f4ff045088246c92163209c1d88d2d99715ac6896

Observation 3f56e99a-568f-4af1-92e8-b50e9e1f0746 · outbound

This paper cites Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition.

Transferability and Hardness of Supervised Classification Tasks Hy- perface: A deep multi-task learning framework for face de- tection, landmark localization, pose estimation, and gender recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.179648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e7b548a3-793e-4bbe-b2ca-1d2d368d560d · outbound

This paper cites An all-in-one convolutional neural net- work for face analysis.

Transferability and Hardness of Supervised Classification Tasks An all-in-one convolutional neural net- work for face analysis

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.164276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0293bc41-6243-4bd2-b690-04b519f48c57 · outbound

This paper cites CHILD: A first step towards continual learn- ing.

Transferability and Hardness of Supervised Classification Tasks CHILD: A first step towards continual learn- ing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.148802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.538256Z digest=sha256:f262ea7cb662d13defe34fdbe31c1fb4553fe6c1b55ac684b2e393f2c3866c95

Observation c1462519-8ba3-4c2a-91a2-f417e1e6e057 · outbound

This paper cites Dex: Deep expectation of apparent age from a single image.

Transferability and Hardness of Supervised Classification Tasks Dex: Deep expectation of apparent age from a single image

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.133228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.544019Z digest=sha256:e904817a862abedd3801dfca619a628faf1a34059969ef8c18aa714ad9edf95d

Observation f320a7fb-890e-41b5-882d-68cb4f2b59e8 · outbound

This paper cites Be- yond sharing weights for deep domain adaptation.

Transferability and Hardness of Supervised Classification Tasks Be- yond sharing weights for deep domain adaptation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.117945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.549059Z digest=sha256:05e0894a750f9d2030fb91549638dd8ac9988474a8fdb2c02406c890a5245a93

Observation a418bfb3-5de5-47c5-8b2d-c8aedd6c0b44 · outbound

This paper cites Moon: A mixed objective optimization network for the recognition of facial attributes.

Transferability and Hardness of Supervised Classification Tasks Moon: A mixed objective optimization network for the recognition of facial attributes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.102360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.553876Z digest=sha256:82036cbfef8bf438acfb049878947504b6817ff6d57b84fcb0fc8eada811fe22

Observation 8b3dc799-5e86-4d7c-abbd-f3efd67c569e · outbound

This paper cites Meta-learning with latent embedding optimization.

Transferability and Hardness of Supervised Classification Tasks Meta-learning with latent embedding optimization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.087253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.559165Z digest=sha256:67aaebaeed277b109f1fcf5e4d3e678aef9263c1c29bd077d4f267ee76247736

Observation 242f5094-9d19-48ac-a279-6a52fcc50d5a · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimiza- tion, and beyond.

Transferability and Hardness of Supervised Classification Tasks Learning with kernels: support vector machines, regularization, optimiza- tion, and beyond

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.071977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.563965Z digest=sha256:605553301870f67648a76118b48f0b84592733f8510c5fb8f2757865f3c7f2b7

Observation 3d00444e-468d-4de8-bd60-4d21d154231f · outbound

This paper cites Refining architectures of deep convolutional neural networks.

Transferability and Hardness of Supervised Classification Tasks Refining architectures of deep convolutional neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.056363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.568926Z digest=sha256:e5bd80468c9c91273030b8ee5d77ed8df41e3468dab5925fb361c8c9fcba4757

Observation 33519cdc-c351-41b1-87da-dbcc966365ec · outbound

This paper cites Unbiased look at dataset bias.

Transferability and Hardness of Supervised Classification Tasks Unbiased look at dataset bias

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.040451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.573499Z digest=sha256:7c6f3e6c44cb0f4969339fa81b52132c989dc116c7aba67a60b58001d3e40198

Observation 9d76c2eb-3bbc-4ee9-93b4-b89201d09359 · outbound

This paper cites Extreme 3D face reconstruc- tion: Looking past occlusions.

Transferability and Hardness of Supervised Classification Tasks Extreme 3D face reconstruc- tion: Looking past occlusions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.023868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.578170Z digest=sha256:3113ce228035dc2f7cd933c0bfdb4796f6fdc9da0c0c0e3ff64fdcf3a634289c

Observation 11351b34-6b31-4116-85a3-8775054e0475 · outbound

This paper cites Conditional similarity networks.

Transferability and Hardness of Supervised Classification Tasks Conditional similarity networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:14.007431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.583624Z digest=sha256:5d1ffdb0cef28dbc2f0214f8d03694fc1bc34baaa407a718a18a0c83b4473e71

Observation 074dd2e0-4b1b-4721-8223-919b1cf0efbb · outbound

This paper cites Cos- face: Large margin cosine loss for deep face recognition.

Transferability and Hardness of Supervised Classification Tasks Cos- face: Large margin cosine loss for deep face recognition

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.991936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.588880Z digest=sha256:9acfd16f3dcb34a6f52d9767e98ba847056605ba975458d2cf0a8e890de3c1d0

Observation 109f1f1b-3faa-430c-8498-48250c474348 · outbound

This paper cites Walk and learn: Facial attribute representation learning from egocen- tric video and contextual data.

Transferability and Hardness of Supervised Classification Tasks Walk and learn: Facial attribute representation learning from egocen- tric video and contextual data

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.976084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.593618Z digest=sha256:0620edbe9ad0c3356eb43988c73d0f8b95795669763b539ddead3141f6ff8eb5

Observation 98da3e03-ba8f-43c7-9dfd-7948f9329c38 · outbound

This paper cites Towards unified depth and seman- tic prediction from a single image.

Transferability and Hardness of Supervised Classification Tasks Towards unified depth and seman- tic prediction from a single image

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.961171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.598340Z digest=sha256:cd6c306c9587bf61eba6208790248d991c50c22d36d544495b11499879ba7363

Observation ffd79386-2537-4a2f-af2e-dab744f591f4 · outbound

This paper cites A survey of transfer learning.

Transferability and Hardness of Supervised Classification Tasks A survey of transfer learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.946288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.602911Z digest=sha256:b4f3054b6e35d5d27b6ed992899553cbe829f4ea2a8b7999e09157f34ecee4ef

Observation 7390f2cc-5617-4e1e-8d28-4a3776371d48 · outbound

This paper cites Welinder, S.

Transferability and Hardness of Supervised Classification Tasks Welinder, S

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.930615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.607524Z digest=sha256:07c228938543d8a60a1b82dd355adee3aacbdcf68d05c41be0be7a16816953db

Observation 6b912ac1-54f1-4d8c-936b-025507fcab74 · outbound

This paper cites Zero-shot learning-a comprehensive evalu- ation of the good, the bad and the ugly.

Transferability and Hardness of Supervised Classification Tasks Zero-shot learning-a comprehensive evalu- ation of the good, the bad and the ugly

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.915570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.612424Z digest=sha256:5f1e9d7fb8f3b9215ebe10dabff584a7fb090e7dd4ed7b1c5b47e0352fc49e50

Observation b00a8725-9c4b-4844-bed7-aaa390526098 · outbound

This paper cites Deep multi-task representation learning: A tensor factorisation approach.

Transferability and Hardness of Supervised Classification Tasks Deep multi-task representation learning: A tensor factorisation approach

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.899547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.617230Z digest=sha256:919a7d51afbda2da79fe34c87287c1431b6d7063c512f554eb63e5a57bd32a84

Observation a74c9201-ffa2-4207-a0bf-6d24775bf9aa · outbound

This paper cites Transfer learning via learning to transfer.

Transferability and Hardness of Supervised Classification Tasks Transfer learning via learning to transfer

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.882414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.622124Z digest=sha256:5eabac98befabe8e7c53d18f7dce20bdd968d4127d8f0d7a0b94a643f9a7c690

Observation c87d9b1b-2065-48e3-9b13-5a8201bc3622 · outbound

This paper cites How transferable are features in deep neural networks? In Neural Inform.

Transferability and Hardness of Supervised Classification Tasks How transferable are features in deep neural networks? In Neural Inform

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.866455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.626769Z digest=sha256:9ae1c69f64ee61e22d6c677a2ca06b33a866175a5b86d74f2ad820fbfe14a686

Observation 10df263f-4dad-4d72-870b-315cb256a6a6 · outbound

This paper cites Taskonomy: Disentangling task transfer learning.

Transferability and Hardness of Supervised Classification Tasks Taskonomy: Disentangling task transfer learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.849232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.631640Z digest=sha256:2c4fc377536da4a97aeee12fdf3c460b44834745976eb323208dee2ba53ae578

Observation 8524868d-718a-4201-a6bd-bedec8260240 · outbound

This paper cites Understanding deep learning re- quires rethinking generalization.

Transferability and Hardness of Supervised Classification Tasks Understanding deep learning re- quires rethinking generalization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.833008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.636347Z digest=sha256:5cdce8dbfb7af6c133dadee40ed226daffd44b00e7eaac4c30e0213c5193f1dc

Observation d3f3770f-ac65-4614-b8d3-dd1a6e711544 · outbound

This paper cites A modulation module for multi-task learning with applications in image retrieval.

Transferability and Hardness of Supervised Classification Tasks A modulation module for multi-task learning with applications in image retrieval

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.815996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.641059Z digest=sha256:71a1c8293bebf775c73f0042cbb2c36292a920e933da9c7025be3a80a1bca4b5

Observation dd5fc34a-3019-4172-a47e-5c8e22b45118 · outbound

This paper cites (6) in the paper).

Transferability and Hardness of Supervised Classification Tasks (6) in the paper)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.799286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.645454Z digest=sha256:8fe08743a1fbff5a097d489a279860cd2420421cb9cadd047f7a94a17155cc14

Observation a80c0f57-fc9c-4133-8dba-53c36e4e1e75 · outbound

This paper cites (17) above.

Transferability and Hardness of Supervised Classification Tasks (17) above

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:53:13.783557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:53:13.650204Z digest=sha256:dfe93b55be557d6b5e68b648a3f81499b85b7c8732456957cd693f850816effe

Pith citing papers

No inbound Pith citation observations are available.