Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models | Paper Citation Record

Observation 00cc1627-a8e4-48f0-abdb-339cc1dfb503 · outbound

This paper cites GPT-4 Technical Report.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.754124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c84d0d-4d78-4e76-9ca0-17d1dd5a2e9d · outbound

This paper cites Varshney.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Varshney

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.760184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3221a89c-b430-479a-916c-af61702e015c · outbound

This paper cites Adapting to latent subgroup shifts via concepts and proxies.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Adapting to latent subgroup shifts via concepts and proxies

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.766325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c765ad96-8e19-4477-a5b5-5156b993e694 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Flamingo: a visual language model for few-shot learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.772747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f430fd-6158-421c-bf7b-3b28fd3fda7e · outbound

This paper cites The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.779554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa1b3f5-8912-4629-8af4-ae0ee4d6bca5 · outbound

This paper cites Invariant Risk Minimization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Invariant Risk Minimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.786700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcaa48e5-d15f-41b3-8c60-f3ed03dae1e7 · outbound

This paper cites Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.796741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd5bc69-f242-4043-83a7-9d3b6d8f8d2e · outbound

This paper cites Robust optimization, volume 28.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Robust optimization, volume 28

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.803485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e8ad8c-d40b-4db3-9ad9-1546c928b5bb · outbound

This paper cites Robust solutions of optimization problems affected by uncertain probabilities.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Robust solutions of optimization problems affected by uncertain probabilities

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.811596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d647142e-794c-4297-ab78-062c20a5bae2 · outbound

This paper cites Improving image generation with better captions.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Improving image generation with better captions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.820082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af56d8f4-8ea5-4beb-87de-4c9326fc586d · outbound

This paper cites Generalizing from several related classification tasks to a new unlabeled sample.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Generalizing from several related classification tasks to a new unlabeled sample

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.831505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f71b75-7ecf-48aa-a0d1-e37c83a8bee2 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models On the Opportunities and Risks of Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.840068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df507ce-27f8-4b0a-a2bf-a8046c796902 · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Swad: Domain generalization by seeking flat minima

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.848482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1908febd-5263-439b-8cd6-8c03315fcc9f · outbound

This paper cites Domain generalization by mutual-information regularization with pre-trained models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Domain generalization by mutual-information regularization with pre-trained models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.183398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29306f76-782d-4e16-8d77-b23dc108b3e0 · outbound

This paper cites Disentangled prompt representation for domain generalization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Disentangled prompt representation for domain generalization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.157361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73c9e9ee-4afb-4f22-8868-ad1a68c3168b · outbound

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

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.869506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa4147b-2eeb-494d-9ef6-c6a6c97dd9df · outbound

This paper cites Statistics of robust optimization: A generalized empirical likelihood approach.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Statistics of robust optimization: A generalized empirical likelihood approach

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.879162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca496e4-98f3-44a3-941f-5e665a272733 · outbound

This paper cites u gelgen, Hamed Hassani, George J Pappas, and Bernhard Sch \.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models u gelgen, Hamed Hassani, George J Pappas, and Bernhard Sch \

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.105107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e72fb4b3-6d2c-46ed-a9bf-c21e8e434fa8 · outbound

This paper cites If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:56:43.587658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e7f2aab-3369-40bf-89b7-20e4fe05fedb · outbound

This paper cites Data determines distributional robustness in contrastive language image pre-training (clip).

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Data determines distributional robustness in contrastive language image pre-training (clip)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.083434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f577694f-d19b-4d23-907b-355cc8cd6a20 · outbound

This paper cites Born again neural networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Born again neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.062203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4d8d0eac-115b-4e5f-81fd-811d932e705f · outbound

This paper cites an unresolved cited work.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:56:45.042061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d08f3c53-2d58-485b-b7b7-44efd47bc138 · outbound

This paper cites Out-of-domain robustness via targeted augmentations.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Out-of-domain robustness via targeted augmentations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.021804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ba75d8a-5af2-4e49-a3cd-2e3957d3b35f · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Clip-adapter: Better vision-language models with feature adapters

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:45.001067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf72a97a-0114-4191-80cf-884e7518632c · outbound

This paper cites Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.981567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 667fa897-82f4-400f-9305-ab5604f84cb0 · outbound

This paper cites Wichmann.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Wichmann

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.957883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 675df4b9-df35-4061-b18d-ffedbf27a079 · outbound

This paper cites Finetune like you pretrain: Improved finetuning of zero-shot vision models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Finetune like you pretrain: Improved finetuning of zero-shot vision models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.966312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9c2384-c60f-4771-8c9e-bc97cfd33cfc · outbound

This paper cites In search of lost domain generalization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models In search of lost domain generalization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:42.973268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50675396-3fd2-4316-a917-aa1865a8ab29 · outbound

This paper cites Spottune: transfer learning through adaptive fine-tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Spottune: transfer learning through adaptive fine-tuning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.910148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9d0eacb-33e2-40b6-bdf9-b583075468d9 · outbound

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

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.889931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c04c549-e687-42d4-8282-3f4a1bed5e82 · outbound

This paper cites Natural adversarial examples.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Natural adversarial examples

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.869516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bee993b2-0310-45d7-8abe-2ac115056aff · outbound

This paper cites Refine myself by teaching myself: Feature refinement via self-knowledge distillation.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Refine myself by teaching myself: Feature refinement via self-knowledge distillation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.844669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eea22d79-1d52-427a-bcef-ca9a7b03f706 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.824151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6258f790-4163-4067-8b37-8b94cffb9956 · outbound

This paper cites SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.016780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5f0fa2-f35b-4438-99ec-d8149d3e3fb6 · outbound

This paper cites Last layer re-training is sufficient for robustness to spurious correlations.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Last layer re-training is sufficient for robustness to spurious correlations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.804049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5d43292-93eb-4730-897d-48d9badc33f3 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Overcoming catastrophic forgetting in neural networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.030398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 530f1e9d-9362-4b68-a6a6-6a8498ca1347 · outbound

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

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Wilds: A benchmark of in-the-wild distribution shifts

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.765360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f782b80-5769-4ece-94b3-d980bc1fab53 · outbound

This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Fine-tuning can distort pretrained features and underperform out-of-distribution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.743385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81e0daf5-96c7-4708-b87b-4c969e31f31a · outbound

This paper cites Explicit inductive bias for transfer learning with convolutional networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Explicit inductive bias for transfer learning with convolutional networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.719188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 365cdd16-4e62-4ed3-8833-4dc7485298e0 · outbound

This paper cites Learning causal semantic representation for out-of-distribution prediction.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Learning causal semantic representation for out-of-distribution prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.693251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fca66d2d-c0f1-4ba5-be1d-6c6cf11941c5 · outbound

This paper cites Visual instruction tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Visual instruction tuning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.668967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a807081-582c-448a-9fd1-6ee0aca216fb · outbound

This paper cites Causality inspired representation learning for domain generalization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Causality inspired representation learning for domain generalization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.646506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53278e8b-582c-4325-81b4-4a580eb5703d · outbound

This paper cites Domain generalization using causal matching.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Domain generalization using causal matching

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.626918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01a7f4f2-ec37-4ae0-927a-8294a3bdf288 · outbound

This paper cites Enhancing clip with gpt-4: Harnessing visual descriptions as prompts.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Enhancing clip with gpt-4: Harnessing visual descriptions as prompts

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.606754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 707ac75a-7dea-4fcb-a6fa-125c8b02deb6 · outbound

This paper cites Context-aware robust fine-tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Context-aware robust fine-tuning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.587849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4937eaab-6a37-4e85-93de-2802d9966f27 · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Catastrophic interference in connectionist networks: The sequential learning problem

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.095440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd39453-60b4-498b-a4b0-2aaef1e422ca · outbound

This paper cites Visual classification via description from large language models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Visual classification via description from large language models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.551588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e14774e3-1d37-4da3-ad5c-bf3942a02f24 · outbound

This paper cites Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.116134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96414093-d9c3-46f2-94f5-9539b0ce3522 · outbound

This paper cites Representation learning via invariant causal mechanisms.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Representation learning via invariant causal mechanisms

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.499425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f919199-aaa2-49b0-a2aa-0d245bfb3d3a · outbound

This paper cites Hard imagenet: Segmentations for objects with strong spurious cues.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Hard imagenet: Segmentations for objects with strong spurious cues

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.478834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0eecb5d-5df9-4367-a5a4-2bd2e4e38dfd · outbound

This paper cites Domain generalization via invariant feature representation.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Domain generalization via invariant feature representation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.459405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e22bb047-2fcf-4379-9e5c-7496a792e00e · outbound

This paper cites Lipsum-ft: Robust fine-tuning of zero-shot models using random text guidance.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Lipsum-ft: Robust fine-tuning of zero-shot models using random text guidance

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.433872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae5c2862-6d05-4d1e-80e6-a52788166fd2 · outbound

This paper cites Towards Calibrated Robust Fine-Tuning of Vision-Language Models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Towards Calibrated Robust Fine-Tuning of Vision-Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.164200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44fc59d4-201e-4a1b-adf1-f0a903aad82f · outbound

This paper cites Causal inference by using invariant prediction: identification and confidence intervals.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Causal inference by using invariant prediction: identification and confidence intervals

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.408793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba502fe2-b06d-44ec-9703-ba54e39c10fb · outbound

This paper cites Combined scaling for zero-shot transfer learning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Combined scaling for zero-shot transfer learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.388615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfc065ea-664d-4d20-8b91-c725540cff3a · outbound

This paper cites Ins-detclip: Aligning detection model to follow human-language instruction.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Ins-detclip: Aligning detection model to follow human-language instruction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.362080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5675416f-3f99-4db5-b56b-b5c208368b32 · outbound

This paper cites Can domain adaptation make object recognition work for everyone? In CVPR, pages 3981--3988, 2022.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Can domain adaptation make object recognition work for everyone? In CVPR, pages 3981--3988, 2022

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.342136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a0a5997-bba2-4bf9-b69e-4138125716cd · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.201536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f60dbe-669b-460e-9cc3-42f390abc99a · outbound

This paper cites Language models are unsupervised multitask learners.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Language models are unsupervised multitask learners

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.209615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaec7944-5b62-4874-a4f5-c32c2f5e3dba · outbound

This paper cites Learning transferable visual models from natural language supervision.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Learning transferable visual models from natural language supervision

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.292446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 91e48e8b-1680-4948-989b-6b448ad6cb52 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In ICML, pages 5389--5400.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Do imagenet classifiers generalize to imagenet? In ICML, pages 5389--5400

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.268351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e24524d7-e648-43ee-abda-b17ed35d0be7 · outbound

This paper cites Hashimoto, and Percy Liang.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Hashimoto, and Percy Liang

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.244126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55ebc2ea-f77f-4389-9907-452ae587358b · outbound

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

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models The pitfalls of simplicity bias in neural networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.216718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f351cafd-f71f-4fcc-93aa-4a8ea65c3ad3 · outbound

This paper cites How much can clip benefit vision-and-language tasks? In ICLR, 2022.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models How much can clip benefit vision-and-language tasks? In ICLR, 2022

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.193472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 32a06aaf-e2b8-4462-a3c2-562baf887aa5 · outbound

This paper cites Clipood: Generalizing clip to out-of-distributions.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Clipood: Generalizing clip to out-of-distributions

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.172636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a21ec33-39b4-46ea-b2e6-70d7a9eba39b · outbound

This paper cites Intriguing properties of neural networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Intriguing properties of neural networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.269645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d8b55d-b9cd-4622-bdff-3839d3135c70 · outbound

This paper cites Measuring robustness to natural distribution shifts in image classification.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Measuring robustness to natural distribution shifts in image classification

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.152309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a03ba9a-de6a-45a9-a59e-a474e4e401df · outbound

This paper cites Separating style and content.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Separating style and content

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.123782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf20c3ad-14dc-455d-8d62-0d39450fe254 · outbound

This paper cites Id and ood performance are sometimes inversely correlated on real-world datasets.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Id and ood performance are sometimes inversely correlated on real-world datasets

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.104535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71bd9d78-0a9e-4298-9d0f-7a1c14cc77ce · outbound

This paper cites Trainable projected gradient method for robust fine-tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Trainable projected gradient method for robust fine-tuning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.081657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3962a108-7e66-42c8-a01d-30474282aa6e · outbound

This paper cites Fast trainable projection for robust fine-tuning.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Fast trainable projection for robust fine-tuning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.062806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8303f210-0b77-444b-ba67-1ae41ea26674 · outbound

This paper cites Robustness may be at odds with accuracy.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Robustness may be at odds with accuracy

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.040588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2bf6df4d-127e-4236-a373-507c6fe3729c · outbound

This paper cites Statistical Learning Theory.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Statistical Learning Theory

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.319551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a24913a-e92d-494b-84b2-9991668576e4 · outbound

This paper cites Statistical decision functions which minimize the maximum risk.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Statistical decision functions which minimize the maximum risk

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:44.004221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 601d6d93-5d3c-45dc-8020-e6ff2a41c7de · outbound

This paper cites Learning robust global representations by penalizing local predictive power.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Learning robust global representations by penalizing local predictive power

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.982183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 400f164a-be43-4d99-836e-15fd68a10949 · outbound

This paper cites Robust fine-tuning of zero-shot models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Robust fine-tuning of zero-shot models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.955981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c22d400-81fd-41b3-b1eb-80803491f764 · outbound

This paper cites Demystifying clip data.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Demystifying clip data

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.348371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4442dc-a54d-4f72-81ce-b5fac6b62277 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Learning concise and descriptive attributes for visual recognition

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.919800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42cc06e1-92eb-41d9-a442-460209d2ecfd · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.898609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b626eb1-7c18-4d23-ad8f-73ed0b4d3a88 · outbound

This paper cites Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Ood-bench: Quantifying and understanding two dimensions of out-of-distribution generalization

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.866522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25c03af0-477c-4f5a-b4c3-368bd3eae327 · outbound

This paper cites Continual learning through synaptic intelligence.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Continual learning through synaptic intelligence

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.843136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01479ef4-e49a-4df3-bcf4-2874f53bf053 · outbound

This paper cites Side-tuning: a baseline for network adaptation via additive side networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Side-tuning: a baseline for network adaptation via additive side networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.823160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7f84216-8c8f-41ae-a454-d15af98b156f · outbound

This paper cites Be your own teacher: Improve the performance of convolutional neural networks via self distillation.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Be your own teacher: Improve the performance of convolutional neural networks via self distillation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.800676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 726ab049-7358-4fb9-a8ab-611c0b9c956a · outbound

This paper cites Self-distillation: Towards efficient and compact neural networks.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Self-distillation: Towards efficient and compact neural networks

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.776305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d4346b3-3a62-49d6-bb84-1ba59ca4270c · outbound

This paper cites A Causal Framework to Unify Common Domain Generalization Approaches.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models A Causal Framework to Unify Common Domain Generalization Approaches

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T05:56:43.406500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2f07ca-603e-43bc-8b1c-2a6db0558f1a · outbound

This paper cites Pointclip: Point cloud understanding by clip.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Pointclip: Point cloud understanding by clip

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.755384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 376ac678-2692-45c9-a00e-f991c95e3851 · outbound

This paper cites Connecting unseen domains: Cross-domain invariant learning in recommendation.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Connecting unseen domains: Cross-domain invariant learning in recommendation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.732928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fdecc363-baa9-46e9-82b6-ad0bdbb6febd · outbound

This paper cites Freelb: Enhanced adversarial training for natural language understanding.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Freelb: Enhanced adversarial training for natural language understanding

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.712106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a918b773-ab58-432f-af07-d506cf2f5f61 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:56:43.691193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers