Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation | Paper Citation Record

Observation 9126f959-eefd-4bea-935c-03cc9b53f61c · outbound

This paper cites Parameter-free online test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Parameter-free online test-time adaptation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.255322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56a8ebe6-d6ae-40a7-9434-fee1c5aefd77 · outbound

This paper cites Contrastive test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Contrastive test-time adaptation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.239890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b90071a2-edd6-47cc-bf0d-3e26f02ea305 · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recogni- tion.Advances in Neural Information Processing Systems, 35:16664–16678, 2022.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Adaptformer: Adapting vision transformers for scalable visual recogni- tion.Advances in Neural Information Processing Systems, 35:16664–16678, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.224609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3c04f35-6a73-4433-999e-67527f850439 · outbound

This paper cites Improving test-time adaptation via shift-agnostic weight regularization and nearest source prototypes.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Improving test-time adaptation via shift-agnostic weight regularization and nearest source prototypes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.209241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a5befb5-574f-46c2-99df-92fab630e9b6 · outbound

This paper cites Adaptive energy alignment for accelerating test-time adapta- tion.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Adaptive energy alignment for accelerating test-time adapta- tion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.193929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8324758f-421b-441d-9623-4fe6c23ca358 · outbound

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

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Imagenet: A large-scale hierarchical image database

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.782010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2813c19c-e3b8-4cc7-bff7-8ef0ea39f00b · outbound

This paper cites Test-time model adaptation for quantized neu- ral networks.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Test-time model adaptation for quantized neu- ral networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.169270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2e8febd-0d3a-4087-8216-2c15bcf854db · outbound

This paper cites Model Agnostic Contrastive Explanations for Structured Data.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Model Agnostic Contrastive Explanations for Structured Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.791165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1a615e-fe70-4f77-9948-e6ae0b21fba3 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.154720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9278e41f-9d33-4425-85dc-85a152736f3f · outbound

This paper cites Brain- inspired online adaptation for remote sensing with spiking neural network.IEEE Transactions on Geoscience and Re- mote Sensing, 2025.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Brain- inspired online adaptation for remote sensing with spiking neural network.IEEE Transactions on Geoscience and Re- mote Sensing, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.139899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2aa26100-c222-42f5-aafe-9e2e4c13db32 · outbound

This paper cites Life- long test-time adaptation via online learning in tracked low- dimensional subspace.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Life- long test-time adaptation via online learning in tracked low- dimensional subspace

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.125240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c41a7119-77c4-4a37-8327-b81e69577578 · outbound

This paper cites Optimal rates for zero-order con- vex optimization: The power of two function evaluations.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Optimal rates for zero-order con- vex optimization: The power of two function evaluations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.110354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1602a773-38b7-4308-8534-1d761b4d7309 · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic program- ming.SIAM journal on optimization, 23(4):2341–2368,.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Stochastic first-and zeroth-order methods for nonconvex stochastic program- ming.SIAM journal on optimization, 23(4):2341–2368,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.096052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 292447c6-7a5d-443f-934b-cbfe77268ef1 · outbound

This paper cites Sotta: Robust test-time adaptation on noisy data streams.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Sotta: Robust test-time adaptation on noisy data streams

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.081957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 297daaa6-f73f-4903-99a2-154523632d22 · outbound

This paper cites Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.823144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1077fe27-cc17-437e-b09c-49a4cd414e2c · outbound

This paper cites Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.828073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc13d618-032e-4e6a-87cc-474847edfca0 · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation The CMA Evolution Strategy: A Tutorial

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.832676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113833b7-0025-4346-948f-4b0b122a608f · outbound

This paper cites Completely de- randomized self-adaptation in evolution strategies.Evolu- tionary computation, 9(2):159–195, 2001.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Completely de- randomized self-adaptation in evolution strategies.Evolu- tionary computation, 9(2):159–195, 2001

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.067079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16d514f0-c291-4683-909d-9d130163e33d · outbound

This paper cites Benchmarking neu- ral network robustness to common corruptions and perturba- tions.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Benchmarking neu- ral network robustness to common corruptions and perturba- tions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.052020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9abd5e03-109a-450b-ac50-2879b31ebea7 · outbound

This paper cites Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.036996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c6731e0-4306-43c8-9361-29b7f5fb322b · outbound

This paper cites The many faces of robust- ness: A critical analysis of out-of-distribution generalization.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation The many faces of robust- ness: A critical analysis of out-of-distribution generalization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.021379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cff07c06-1e7f-40e5-b112-64f0bde49522 · outbound

This paper cites Black-box adversarial attacks with limited queries and information.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Black-box adversarial attacks with limited queries and information

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:38.005401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16cf6328-493f-446b-83ee-06ceb3910848 · outbound

This paper cites Test-time classifier adjustment module for model-agnostic domain generaliza- tion.Advances in Neural Information Processing Systems, 34:2427–2440, 2021.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Test-time classifier adjustment module for model-agnostic domain generaliza- tion.Advances in Neural Information Processing Systems, 34:2427–2440, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.988739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64c3c40d-7a96-4a3b-aa22-9022a245c6e8 · outbound

This paper cites Wilds: A benchmark of in-the- 9 wild distribution shifts.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Wilds: A benchmark of in-the- 9 wild distribution shifts

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.973535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fff90e5a-d241-454f-acde-88233bdf5d4f · outbound

This paper cites Towards explaining dis- tribution shifts.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Towards explaining dis- tribution shifts

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.958396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b52ff4c6-f3ca-4440-abe9-d095b67190e6 · outbound

This paper cites Becotta: Input-dependent online blending of experts for continual test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Becotta: Input-dependent online blending of experts for continual test-time adaptation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.942740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee46ea05-efe0-4f2a-b4ec-d892e098ed7d · outbound

This paper cites Entropy is not enough for test-time adaptation: From the perspective of disentangled factors.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Entropy is not enough for test-time adaptation: From the perspective of disentangled factors

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.927795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd185076-af12-409f-a5df-f1e34666c8d9 · outbound

This paper cites Tta-cope: Test-time adaptation for category-level object pose estimation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Tta-cope: Test-time adaptation for category-level object pose estimation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.882563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc9d2c8-ea4c-4697-bbff-d0c18da945e7 · outbound

This paper cites Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.902550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 287007e2-88c6-4956-9530-316378464a5a · outbound

This paper cites A comprehensive sur- vey on test-time adaptation under distribution shifts.Inter- national Journal of Computer Vision, pages 1–34, 2024.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation A comprehensive sur- vey on test-time adaptation under distribution shifts.Inter- national Journal of Computer Vision, pages 1–34, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.888342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c64a40e-156a-44f5-87b0-545a5ca91c8e · outbound

This paper cites Ttn: A domain-shift aware batch normalization in test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Ttn: A domain-shift aware batch normalization in test-time adaptation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.873662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7930bb04-7b46-486a-8f51-a34ebd0d443d · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.859719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ba8a148-1fc1-4775-b86e-429550dc160a · outbound

This paper cites Fine- tuning language models with just forward passes.Advances in Neural Information Processing Systems, 36:53038–53075,.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Fine- tuning language models with just forward passes.Advances in Neural Information Processing Systems, 36:53038–53075,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.844484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1643a942-9bfe-4e45-a41c-35100500ea6d · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.908660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8867aa17-961d-4e08-99ff-e61564875988 · outbound

This paper cites Obtaining well calibrated probabilities using bayesian binning.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Obtaining well calibrated probabilities using bayesian binning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.829496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43c20f8b-f566-4f9d-8a83-1d7ca550ad2e · outbound

This paper cites Random gradient- free minimization of convex functions.Foundations of Com- putational Mathematics, 17(2):527–566, 2017.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Random gradient- free minimization of convex functions.Foundations of Com- putational Mathematics, 17(2):527–566, 2017

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.814652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a945a2e4-2767-4655-96fa-a0df4f22a79c · outbound

This paper cites Maintainingconsistentinter- classtopologyincontinualtest-timeadaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Maintainingconsistentinter- classtopologyincontinualtest-timeadaptation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.799261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bdf9f33-5b52-4592-ba1d-f591ec67be29 · outbound

This paper cites Efficient test-time model adaptation without forgetting.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Efficient test-time model adaptation without forgetting

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.783781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e813c04d-3136-4bac-b8fc-bba566f966a5 · outbound

This paper cites Towards sta- ble test-time adaptation in dynamic wild world.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Towards sta- ble test-time adaptation in dynamic wild world

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.768997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1fdd960-5f56-419f-b9a9-5f28f7e46246 · outbound

This paper cites Test-time model adaptation with only forward passes.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Test-time model adaptation with only forward passes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.752630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation edab0048-6d25-4edd-8047-c00a2162f8bf · outbound

This paper cites AdapterHub: A Framework for Adapting Transformers.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation AdapterHub: A Framework for Adapting Transformers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.940187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd2c71a-f4a5-4381-bd4f-d644a6b4d2b4 · outbound

This paper cites Do imagenet classifiers generalize to ima- genet? InProceedings of the 37th International Conference on Machine Learning (ICML), pages 5389–5400, 2019.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Do imagenet classifiers generalize to ima- genet? InProceedings of the 37th International Conference on Machine Learning (ICML), pages 5389–5400, 2019

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.736350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d365434-080f-49a5-bc92-72daef7fbb93 · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization.Proceedings of the IEEE, 104(1):148–175, 2015.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Taking the human out of the loop: A review of bayesian optimization.Proceedings of the IEEE, 104(1):148–175, 2015

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.721375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 947f15d2-6a92-484b-8991-ca00d1257915 · outbound

This paper cites Zeroth-order optimization with trajectory-informed derivative estimation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Zeroth-order optimization with trajectory-informed derivative estimation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.706438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7810d956-c54b-49f2-abcf-84068c8e804e · outbound

This paper cites Prac- tical bayesian optimization of machine learning algorithms.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Prac- tical bayesian optimization of machine learning algorithms

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.691388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 390515eb-e477-45ca-8038-edf564d569b3 · outbound

This paper cites Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Ecotta: Memory-efficient continual test-time adaptation via self-distilled regularization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.674876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ee01587-a04b-4e8d-aaeb-f00c5358fa75 · outbound

This paper cites Test-time training with self- supervision for generalization under distribution shifts.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Test-time training with self- supervision for generalization under distribution shifts

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.966708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a07dd454-b532-4b64-8243-1a281f0494b8 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Training data-efficient image transformers & distillation through at- tention

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.971589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c0e4ce-9e37-40cd-872e-f3e64b61b771 · outbound

This paper cites Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.639633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16f426e8-374d-414c-bc9c-dd13673c3c74 · outbound

This paper cites Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:36.980015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6c2bce-fbc6-4911-a97d-f8500f596c45 · outbound

This paper cites Tent: Fully test-time adaptation by entropy minimization.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Tent: Fully test-time adaptation by entropy minimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.625513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef84d2c4-e5ae-4999-a06f-ee4afad81b93 · outbound

This paper cites Effortless active label- ing for long-term test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Effortless active label- ing for long-term test-time adaptation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.610754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c521645-7b1f-4f2c-91e7-308175112d4d · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in neural information pro- cessing systems, 32, 2019.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Learning robust global representations by penalizing local predictive power.Advances in neural information pro- cessing systems, 32, 2019

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.596089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bca748a-3894-4771-be9b-0e9cde48bef3 · outbound

This paper cites Continual test-time domain adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Continual test-time domain adaptation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.581141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6687f4df-9f99-4ba5-b38f-d4e58ff48860 · outbound

This paper cites Zarts: On zero-order optimization for neu- ral architecture search.Advances in Neural Information Pro- cessing Systems, 35:12868–12880, 2022.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Zarts: On zero-order optimization for neu- ral architecture search.Advances in Neural Information Pro- cessing Systems, 35:12868–12880, 2022

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.566270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce5ffa05-58ea-48ba-bbf0-7dec1dfabe91 · outbound

This paper cites Robust test- time adaptation in dynamic scenarios.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Robust test- time adaptation in dynamic scenarios

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.550942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1059aa4d-7a42-4927-b1f3-d3ca74ff8782 · outbound

This paper cites Tea: Test-time energy adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Tea: Test-time energy adaptation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.536108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6a13430-0a39-483a-87d9-ab92b7591c44 · outbound

This paper cites How to robustify black-box ml models? a zeroth-order optimization perspec- tive.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation How to robustify black-box ml models? a zeroth-order optimization perspec- tive

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.519913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61850cd7-ebb5-45f8-94eb-5ae18d7fb667 · outbound

This paper cites Adanpc: Exploring non-parametric clas- sifier for test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Adanpc: Exploring non-parametric clas- sifier for test-time adaptation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.503682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a240c6fb-d3a3-4cf2-8e81-3c1a5c5214d2 · outbound

This paper cites Delta: Degradation-free fully test-time adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Delta: Degradation-free fully test-time adaptation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.486851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 943e7aec-42b4-4af7-859c-eaa2d00c734a · outbound

This paper cites On Pitfalls of Test-Time Adaptation.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation On Pitfalls of Test-Time Adaptation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T00:15:37.029869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91963f85-1f57-4ea7-9210-0b209e543275 · outbound

This paper cites On the design of black-box adversarial examples by leveraging gradient-free optimiza- tion and operator splitting method.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation On the design of black-box adversarial examples by leveraging gradient-free optimiza- tion and operator splitting method

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.469705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ffdd87e-90d6-4430-859a-f7c2940cb898 · outbound

This paper cites Second-order fine-tuning without pain for llms: A hessian informed zeroth-order optimizer.Pro- ceedings of the International Conference on Learning Rep- resentations (ICLR), 2024.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Second-order fine-tuning without pain for llms: A hessian informed zeroth-order optimizer.Pro- ceedings of the International Conference on Learning Rep- resentations (ICLR), 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.453354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74bcc667-c553-47cf-b302-6a3e47250463 · outbound

This paper cites Dt = (1−ν)D t−1 +νeg2(θt−1), eHt = diag Dt 1−(1−ν) t , (8) Assumption(Restatement of L-smoothness).Assume the loss functionL(x;θ)isL-smooth respect to parameterθ.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Dt = (1−ν)D t−1 +νeg2(θt−1), eHt = diag Dt 1−(1−ν) t , (8) Assumption(Restatement of L-smoothness).Assume the loss functionL(x;θ)isL-smooth respect to parameterθ

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.437716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16fc8b62-acb9-45a6-921f-90462cca0a34 · outbound

This paper cites Dataset and Model We evaluate our method on ImageNet-C, a benchmark dataset for test-time adaptation [19].

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Dataset and Model We evaluate our method on ImageNet-C, a benchmark dataset for test-time adaptation [19]

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.421526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 427fe538-9316-4fa9-bf22-6fdfd018bf27 · outbound

This paper cites an unresolved cited work.

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Unresolved cited work

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T00:15:37.257464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84855192-a069-429c-bb21-68de71fbe8f8 · outbound

This paper cites Furthermore, we evaluate our approach on three domain-shifted benchmark datasets: ImageNet-R [20], ImageNet- V2 [42], and ImageNet-Sketch [53].

Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation Furthermore, we evaluate our approach on three domain-shifted benchmark datasets: ImageNet-R [20], ImageNet- V2 [42], and ImageNet-Sketch [53]

Reference 768

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:15:37.405635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers