ACE and Diverse Generalization via Selective Disagreement | Paper Citation Record

Observation 91e4a9a8-5293-425a-b80a-6a676bb75e6e · outbound

This paper cites Generalizing to unseen domains via distribution matching.

ACE and Diverse Generalization via Selective Disagreement Generalizing to unseen domains via distribution matching

Reference 1

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Observation ca0d8b02-5804-4dcf-a6fb-8c67cea3b1d1 · outbound

This paper cites Concrete problems in ai safety, 2016.

ACE and Diverse Generalization via Selective Disagreement Concrete problems in ai safety, 2016

Reference 2

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This paper cites Invariant risk mini- mization, 2020.

ACE and Diverse Generalization via Selective Disagreement Invariant risk mini- mization, 2020

Reference 3

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This paper cites Model splintering: moving from one imperfect model to another.

ACE and Diverse Generalization via Selective Disagreement Model splintering: moving from one imperfect model to another

Reference 4

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This paper cites A theory of learning from different domains.Machine Learning, 79:151–175, 2010.

ACE and Diverse Generalization via Selective Disagreement A theory of learning from different domains.Machine Learning, 79:151–175, 2010

Reference 5

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This paper cites Analysis of representa- tions for domain adaptation.

ACE and Diverse Generalization via Selective Disagreement Analysis of representa- tions for domain adaptation

Reference 6

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This paper cites Pythia: A suite for analyzing large language models across training and scaling, 2023.

ACE and Diverse Generalization via Selective Disagreement Pythia: A suite for analyzing large language models across training and scaling, 2023

Reference 7

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This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

ACE and Diverse Generalization via Selective Disagreement Measuring Progress on Scalable Oversight for Large Language Models

Reference 8

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This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

ACE and Diverse Generalization via Selective Disagreement Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 9

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Observation d9162ffc-62e7-4bb1-a475-1328c247fda3 · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss, 2019.

ACE and Diverse Generalization via Selective Disagreement Learning imbalanced datasets with label-distribution-aware margin loss, 2019

Reference 10

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This paper cites Curriculum labeling: Revisiting pseudo-labeling for semi-supervised learning.

ACE and Diverse Generalization via Selective Disagreement Curriculum labeling: Revisiting pseudo-labeling for semi-supervised learning

Reference 11

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This paper cites Semi-supervised classification by low density separation.

ACE and Diverse Generalization via Selective Disagreement Semi-supervised classification by low density separation

Reference 12

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This paper cites Self-training avoids using spurious features under domain shift.Advances in Neural Information Processing Systems, 33:21061– 21071, 2020.

ACE and Diverse Generalization via Selective Disagreement Self-training avoids using spurious features under domain shift.Advances in Neural Information Processing Systems, 33:21061– 21071, 2020

Reference 13

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Observation f8909d00-e85a-4b8c-895a-20cad31e97f6 · outbound

This paper cites Invariant causal mechanisms through distribution matching, 2022.

ACE and Diverse Generalization via Selective Disagreement Invariant causal mechanisms through distribution matching, 2022

Reference 14

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Observation 2a59e5a7-5fbd-44c0-8536-e2a9a60db2de · outbound

This paper cites Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017.

ACE and Diverse Generalization via Selective Disagreement Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017

Reference 15

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This paper cites Reward model ensembles help mitigate overoptimization, 2024.

ACE and Diverse Generalization via Selective Disagreement Reward model ensembles help mitigate overoptimization, 2024

Reference 16

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This paper cites Environment inference for invariant learning, 2021.

ACE and Diverse Generalization via Selective Disagreement Environment inference for invariant learning, 2021

Reference 17

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Observation 50078a5c-16d6-4bca-9353-8f0ab8b69fc0 · outbound

This paper cites Class-balanced loss based on effective number of samples, 2019.

ACE and Diverse Generalization via Selective Disagreement Class-balanced loss based on effective number of samples, 2019

Reference 18

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This paper cites Un- derspecification presents challenges for credibility in modern machine learning.Journal of Machine Learning Research, 23(226):1–61, 2022.

ACE and Diverse Generalization via Selective Disagreement Un- derspecification presents challenges for credibility in modern machine learning.Journal of Machine Learning Research, 23(226):1–61, 2022

Reference 19

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This paper cites The mnist database of handwritten digit images for machine learning research.IEEE Signal Processing Magazine, 29(6):141–142, 2012.

ACE and Diverse Generalization via Selective Disagreement The mnist database of handwritten digit images for machine learning research.IEEE Signal Processing Magazine, 29(6):141–142, 2012

Reference 20

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding, 2019.

ACE and Diverse Generalization via Selective Disagreement Bert: Pre-training of deep bidirectional transformers for language understanding, 2019

Reference 21

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This paper cites Distributionally robust losses for latent covariate mixtures, 2022.

ACE and Diverse Generalization via Selective Disagreement Distributionally robust losses for latent covariate mixtures, 2022

Reference 22

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This paper cites Self-ensembling for visual domain adaptation, 2018.

ACE and Diverse Generalization via Selective Disagreement Self-ensembling for visual domain adaptation, 2018

Reference 23

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This paper cites Domain-adversarial training of neural networks.

ACE and Diverse Generalization via Selective Disagreement Domain-adversarial training of neural networks

Reference 24

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This paper cites Wichmann.

ACE and Diverse Generalization via Selective Disagreement Wichmann

Reference 25

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This paper cites Wichmann, and Wieland Brendel.

ACE and Diverse Generalization via Selective Disagreement Wichmann, and Wieland Brendel

Reference 26

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This paper cites Strictly proper scoring rules, prediction, and estimation.

ACE and Diverse Generalization via Selective Disagreement Strictly proper scoring rules, prediction, and estimation

Reference 27

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This paper cites Semi-supervised learning by entropy minimization.

ACE and Diverse Generalization via Selective Disagreement Semi-supervised learning by entropy minimization

Reference 28

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This paper cites Ai control: Improving safety despite intentional subversion, 2024.

ACE and Diverse Generalization via Selective Disagreement Ai control: Improving safety despite intentional subversion, 2024

Reference 29

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This paper cites Borgwardt, Malte J.

ACE and Diverse Generalization via Selective Disagreement Borgwardt, Malte J

Reference 30

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This paper cites In search of lost domain generalization, 2020.

ACE and Diverse Generalization via Selective Disagreement In search of lost domain generalization, 2020

Reference 31

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This paper cites The unreasonable effectiveness of easy training data for hard tasks, 2024.

ACE and Diverse Generalization via Selective Disagreement The unreasonable effectiveness of easy training data for hard tasks, 2024

Reference 32

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This paper cites Deep residual learning for image recognition, 2015.

ACE and Diverse Generalization via Selective Disagreement Deep residual learning for image recognition, 2015

Reference 33

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This paper cites Benchmarking neural network robustness to common corruptions and perturbations, 2019.

ACE and Diverse Generalization via Selective Disagreement Benchmarking neural network robustness to common corruptions and perturbations, 2019

Reference 34

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ACE and Diverse Generalization via Selective Disagreement On the founda- tions of shortcut learning

Reference 35

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ACE and Diverse Generalization via Selective Disagreement Efros, and Trevor Darrell

Reference 36

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ACE and Diverse Generalization via Selective Disagreement The platonic representation hypothesis, 2024

Reference 37

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ACE and Diverse Generalization via Selective Disagreement Simple data balancing achieves competitive worst-group-accuracy, 2022

Reference 38

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ACE and Diverse Generalization via Selective Disagreement The class imbalance problem: Significance and strategies

Reference 39

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ACE and Diverse Generalization via Selective Disagreement Last layer re-training is sufficient for robustness to spurious correlations, 2023

Reference 40

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ACE and Diverse Generalization via Selective Disagreement Neural network ensembles, cross validation and active learning

Reference 41

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ACE and Diverse Generalization via Selective Disagreement Out-of-distribution generalization via risk extrapo- lation (rex), 2021

Reference 42

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ACE and Diverse Generalization via Selective Disagreement Understanding self-training for gradual domain adaptation

Reference 43

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ACE and Diverse Generalization via Selective Disagreement Simple and scalable predictive uncertainty estimation using deep ensembles, 2017

Reference 44

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ACE and Diverse Generalization via Selective Disagreement A Survey on Out-of-Distribution Detection in NLP

Reference 45

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ACE and Diverse Generalization via Selective Disagreement Goal misgeneralization in deep reinforcement learning, 2023

Reference 46

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ACE and Diverse Generalization via Selective Disagreement Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks

Reference 47

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ACE and Diverse Generalization via Selective Disagreement Learning debiased representation via disentangled feature augmentation, 2021

Reference 48

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ACE and Diverse Generalization via Selective Disagreement Diversify and disambiguate: Learning from underspecified data, 2023

Reference 49

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This paper cites You are what you eat – ai alignment requires understanding how data shapes structure and generalisation, 2025.

ACE and Diverse Generalization via Selective Disagreement You are what you eat – ai alignment requires understanding how data shapes structure and generalisation, 2025

Reference 50

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ACE and Diverse Generalization via Selective Disagreement Unresolved cited work

Reference 51

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This paper cites Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, and Chelsea Finn.

ACE and Diverse Generalization via Selective Disagreement Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, and Chelsea Finn

Reference 52

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Observation 657b72e4-82ca-4f9d-972b-09fec7f894f2 · outbound

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ACE and Diverse Generalization via Selective Disagreement Deep learning face attributes in the wild

Reference 53

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ACE and Diverse Generalization via Selective Disagreement Learning Transferable Features with Deep Adaptation Networks

Reference 54

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ACE and Diverse Generalization via Selective Disagreement Deep Transfer Learning with Joint Adaptation Networks

Reference 55

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This paper cites Domain Adaptation: Learning Bounds and Algorithms.

ACE and Diverse Generalization via Selective Disagreement Domain Adaptation: Learning Bounds and Algorithms

Reference 56

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ACE and Diverse Generalization via Selective Disagreement Michaud, Yonatan Belinkov, David Bau, and Aaron Mueller

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:32.669790Z

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Observation b71084de-a377-4b99-bfa0-c5e3c7d4076e · outbound

This paper cites Learning from failure: Training debiased classifier from biased classifier, 2020.

ACE and Diverse Generalization via Selective Disagreement Learning from failure: Training debiased classifier from biased classifier, 2020

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:32.496119Z

Source-reported events for the cited work

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Observation 7ef33255-5116-4303-b467-f8cde0db2c29 · outbound

This paper cites Spread spurious attribute: Improving worst-group accuracy with spurious attribute estimation, 2022.

ACE and Diverse Generalization via Selective Disagreement Spread spurious attribute: Improving worst-group accuracy with spurious attribute estimation, 2022

Reference 59

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Observation e152b806-665c-4ccb-9c44-0ae9d23c2300 · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis, 2023.

ACE and Diverse Generalization via Selective Disagreement Codegen: An open large language model for code with multi-turn program synthesis, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:24.577393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5756037-1a7e-420b-a2c0-d1345ea91b33 · outbound

This paper cites Agree to disagree: Diversity through disagreement for better transferability, 2022.

ACE and Diverse Generalization via Selective Disagreement Agree to disagree: Diversity through disagreement for better transferability, 2022

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:32.316255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation add40eee-4b6f-457a-9361-4eb993159bc4 · outbound

This paper cites Ridge rider: Finding diverse solutions by following eigenvectors of the hessian, 2020.

ACE and Diverse Generalization via Selective Disagreement Ridge rider: Finding diverse solutions by following eigenvectors of the hessian, 2020

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:32.082903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5ab2546-5313-4561-a969-c477174b7891 · outbound

This paper cites Dice: Diversity in deep ensembles via conditional redundancy adversarial estimation, 2021.

ACE and Diverse Generalization via Selective Disagreement Dice: Diversity in deep ensembles via conditional redundancy adversarial estimation, 2021

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:31.852753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51ca252f-7ee3-44e1-929e-bf896d439429 · outbound

This paper cites why should i trust you?.

ACE and Diverse Generalization via Selective Disagreement why should i trust you?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:24.925959Z

Source-reported events for the cited work

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Observation bf5d4948-78f0-42db-8db3-996b3979ccdd · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning, 2021.

ACE and Diverse Generalization via Selective Disagreement In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning, 2021

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:31.588115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e11ee3a3-a8bb-4686-8d93-9576cc8be5a7 · outbound

This paper cites Coup probes: Catching catastrophes with probes trained off-policy.AI Alignment Forum, Nov 2023.

ACE and Diverse Generalization via Selective Disagreement Coup probes: Catching catastrophes with probes trained off-policy.AI Alignment Forum, Nov 2023

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:31.423868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e341e24-4986-4626-9b66-39db96080a46 · outbound

This paper cites Benchmarks for detecting measurement tampering, 2023.

ACE and Diverse Generalization via Selective Disagreement Benchmarks for detecting measurement tampering, 2023

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:31.253569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8691ca40-122c-4de4-aef6-0c76a8b94b5c · outbound

This paper cites Hashimoto, and Percy Liang.

ACE and Diverse Generalization via Selective Disagreement Hashimoto, and Percy Liang

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:31.096464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30bff2b7-ada7-4b33-82a0-819b460e4b20 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

ACE and Diverse Generalization via Selective Disagreement Facenet: A unified embedding for face recognition and clustering

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:30.895960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86fb21fd-a093-469d-979d-9e35f5d248ac · outbound

This paper cites The pitfalls of simplicity bias in neural networks, 2020.

ACE and Diverse Generalization via Selective Disagreement The pitfalls of simplicity bias in neural networks, 2020

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:30.716205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e421105-7017-4157-ab54-777568076c9e · outbound

This paper cites Wasserstein distance guided representation learning for domain adaptation, 2018.

ACE and Diverse Generalization via Selective Disagreement Wasserstein distance guided representation learning for domain adaptation, 2018

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:30.542245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8fb9d93-513d-4230-bb39-770475f4d23f · outbound

This paper cites A DIRT-T Approach to Unsupervised Domain Adaptation.

ACE and Diverse Generalization via Selective Disagreement A DIRT-T Approach to Unsupervised Domain Adaptation

Reference 72

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Source-reported events for the cited work

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Observation 3430e9c8-bc49-49d4-9950-8f69ecf1921a · outbound

This paper cites Diversity inducing information bottleneck in model ensembles, 2020.

ACE and Diverse Generalization via Selective Disagreement Diversity inducing information bottleneck in model ensembles, 2020

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:30.335343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5125f633-8a2c-4697-8273-c53d35f11908 · outbound

This paper cites Return of Frustratingly Easy Domain Adaptation.

ACE and Diverse Generalization via Selective Disagreement Return of Frustratingly Easy Domain Adaptation

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:33:27.383096Z

Source-reported events for the cited work

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Observation cc9fb051-5927-4341-9f55-308cfcf54f08 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation, 2016.

ACE and Diverse Generalization via Selective Disagreement Deep coral: Correlation alignment for deep domain adaptation, 2016

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:30.150133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60b596eb-7232-44ff-a35d-634f4c287b61 · outbound

This paper cites Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood general- ization, 2022.

ACE and Diverse Generalization via Selective Disagreement Evading the simplicity bias: Training a diverse set of models discovers solutions with superior ood general- ization, 2022

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:29.958941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38a6ef56-6d76-4746-9ca3-98a95f58e9ab · outbound

This paper cites Overcoming simplicity bias in deep networks using a feature sieve.

ACE and Diverse Generalization via Selective Disagreement Overcoming simplicity bias in deep networks using a feature sieve

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:29.700993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90efe75a-723b-4674-9c1c-1ad5af1c0fc1 · outbound

This paper cites Adversarial discriminative domain adaptation, 2017.

ACE and Diverse Generalization via Selective Disagreement Adversarial discriminative domain adaptation, 2017

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:29.496564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5607547f-d42b-4624-a444-81eba8bd724b · outbound

This paper cites Camargo, and Ard A.

ACE and Diverse Generalization via Selective Disagreement Camargo, and Ard A

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:29.289739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89d2c33e-584b-4445-9511-ef9f03df6a28 · outbound

This paper cites Springer science & business media, 1999.

ACE and Diverse Generalization via Selective Disagreement Springer science & business media, 1999

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:29.082680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c472c0c6-3fc4-4ab6-b6e8-b0c8ce845643 · outbound

This paper cites Alignment by default.AI Alignment Forum, 2020.

ACE and Diverse Generalization via Selective Disagreement Alignment by default.AI Alignment Forum, 2020

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:28.829758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f31543a9-ba79-46c4-bced-fbedac1eabbb · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

ACE and Diverse Generalization via Selective Disagreement A broad-coverage challenge corpus for sentence understanding through inference

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:26.588615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa478b6-3be6-4ba8-8998-cd847b296783 · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

ACE and Diverse Generalization via Selective Disagreement Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:26.682028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2523f12f-ed68-4466-b79c-5f42875eebda · outbound

This paper cites Self-training with noisy student improves imagenet classification.

ACE and Diverse Generalization via Selective Disagreement Self-training with noisy student improves imagenet classification

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:26.763153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0fd1cc-7e91-4110-9395-af2a19a0a052 · outbound

This paper cites Chroma-vae: Mitigating shortcut learning with generative classifiers, 2022.

ACE and Diverse Generalization via Selective Disagreement Chroma-vae: Mitigating shortcut learning with generative classifiers, 2022

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:28.519846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e309425-fa9b-4b4d-be97-694bc2799204 · outbound

This paper cites Rethinking the value of labels for improving class-imbalanced learning, 2020.

ACE and Diverse Generalization via Selective Disagreement Rethinking the value of labels for improving class-imbalanced learning, 2020

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:28.322481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c666d1c-5b44-4a48-8357-ea6067c0a2d5 · outbound

This paper cites Change is hard: A closer look at subpopulation shift, 2023.

ACE and Diverse Generalization via Selective Disagreement Change is hard: A closer look at subpopulation shift, 2023

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:28.149577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75e293a3-510d-4323-bb8c-871b0db5dd62 · outbound

This paper cites simpler” attributes [70, 79], such as background [64] or texture [26]. As a result, spurious correlations are often referred to as “shortcut learning.

ACE and Diverse Generalization via Selective Disagreement simpler” attributes [70, 79], such as background [64] or texture [26]. As a result, spurious correlations are often referred to as “shortcut learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:27.920365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11b4a4de-7604-4b68-8648-9de86c315ab7 · outbound

This paper cites 0 mutual information.

ACE and Diverse Generalization via Selective Disagreement 0 mutual information

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:33:27.688948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers