Are vision language models robust to uncertain inputs? | Paper Citation Record

Observation 18507cf6-fa64-42c8-a597-7579c6eb2054 · outbound

This paper cites Deep ensembles work, but are they necessary? Advances in Neural Information Processing Systems, 35: 0 33646--33660, 2022.

Are vision language models robust to uncertain inputs? Deep ensembles work, but are they necessary? Advances in Neural Information Processing Systems, 35: 0 33646--33660, 2022

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This paper cites GPT-4 Technical Report.

Are vision language models robust to uncertain inputs? GPT-4 Technical Report

Reference 2

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This paper cites Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods.

Are vision language models robust to uncertain inputs? Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods

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This paper cites A statistical theory of cold posteriors in deep neural networks.

Are vision language models robust to uncertain inputs? A statistical theory of cold posteriors in deep neural networks

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This paper cites Qwen2.5-VL Technical Report.

Are vision language models robust to uncertain inputs? Qwen2.5-VL Technical Report

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This paper cites Weight uncertainty in neural network.

Are vision language models robust to uncertain inputs? Weight uncertainty in neural network

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This paper cites End to End Learning for Self-Driving Cars.

Are vision language models robust to uncertain inputs? End to End Learning for Self-Driving Cars

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This paper cites Emerging properties in self-supervised vision transformers.

Are vision language models robust to uncertain inputs? Emerging properties in self-supervised vision transformers

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This paper cites Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.

Are vision language models robust to uncertain inputs? Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models

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This paper cites Repulsive deep ensembles are bayesian.

Are vision language models robust to uncertain inputs? Repulsive deep ensembles are bayesian

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This paper cites Laplace redux-effortless bayesian deep learning.

Are vision language models robust to uncertain inputs? Laplace redux-effortless bayesian deep learning

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This paper cites Bayesian deep learning via subnetwork inference.

Are vision language models robust to uncertain inputs? Bayesian deep learning via subnetwork inference

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

Are vision language models robust to uncertain inputs? Imagenet: A large-scale hierarchical image database

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This paper cites The Llama 3 Herd of Models.

Are vision language models robust to uncertain inputs? The Llama 3 Herd of Models

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This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Are vision language models robust to uncertain inputs? Dermatologist-level classification of skin cancer with deep neural networks

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This paper cites Are foundation models for computer vision good conformal predictors? arXiv preprint arXiv:2412.06082, 2024.

Are vision language models robust to uncertain inputs? Are foundation models for computer vision good conformal predictors? arXiv preprint arXiv:2412.06082, 2024

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This paper cites Exploring the limits of out-of-distribution detection.

Are vision language models robust to uncertain inputs? Exploring the limits of out-of-distribution detection

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This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Are vision language models robust to uncertain inputs? Dropout as a bayesian approximation: Representing model uncertainty in deep learning

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This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

Are vision language models robust to uncertain inputs? LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

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This paper cites Recent advances in open set recognition: A survey.

Are vision language models robust to uncertain inputs? Recent advances in open set recognition: A survey

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This paper cites Practical variational inference for neural networks.

Are vision language models robust to uncertain inputs? Practical variational inference for neural networks

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This paper cites Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models.

Are vision language models robust to uncertain inputs? Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models

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This paper cites On calibration of modern neural networks.

Are vision language models robust to uncertain inputs? On calibration of modern neural networks

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This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Are vision language models robust to uncertain inputs? Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

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This paper cites Deep Anomaly Detection with Outlier Exposure.

Are vision language models robust to uncertain inputs? Deep Anomaly Detection with Outlier Exposure

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This paper cites Pixmix: Dreamlike pictures comprehensively improve safety measures.

Are vision language models robust to uncertain inputs? Pixmix: Dreamlike pictures comprehensively improve safety measures

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This paper cites Meta-learning in neural networks: A survey.

Are vision language models robust to uncertain inputs? Meta-learning in neural networks: A survey

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This paper cites Improving predictions of bayesian neural nets via local linearization.

Are vision language models robust to uncertain inputs? Improving predictions of bayesian neural nets via local linearization

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This paper cites What are bayesian neural network posteriors really like? In International Conference on Machine Learning, pp.\ 4629--4640.

Are vision language models robust to uncertain inputs? What are bayesian neural network posteriors really like? In International Conference on Machine Learning, pp.\ 4629--4640

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This paper cites Language Models (Mostly) Know What They Know.

Are vision language models robust to uncertain inputs? Language Models (Mostly) Know What They Know

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This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

Are vision language models robust to uncertain inputs? What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

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This paper cites Uncertainty-Aware Evaluation for Vision-Language Models.

Are vision language models robust to uncertain inputs? Uncertainty-Aware Evaluation for Vision-Language Models

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This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Are vision language models robust to uncertain inputs? Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

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This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Are vision language models robust to uncertain inputs? Simple and scalable predictive uncertainty estimation using deep ensembles

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This paper cites Visual instruction tuning.

Are vision language models robust to uncertain inputs? Visual instruction tuning

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This paper cites Improved baselines with visual instruction tuning.

Are vision language models robust to uncertain inputs? Improved baselines with visual instruction tuning

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Are vision language models robust to uncertain inputs? Simple and principled uncertainty estimation with deterministic deep learning via distance awareness

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Are vision language models robust to uncertain inputs? A practical bayesian framework for backpropagation networks

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Are vision language models robust to uncertain inputs? A simple baseline for bayesian uncertainty in deep learning

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This paper cites Bayesian exploration of pre-trained models for low-shot image classification.

Are vision language models robust to uncertain inputs? Bayesian exploration of pre-trained models for low-shot image classification

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This paper cites Revisiting the calibration of modern neural networks.

Are vision language models robust to uncertain inputs? Revisiting the calibration of modern neural networks

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This paper cites Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Are vision language models robust to uncertain inputs? Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

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This paper cites Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Are vision language models robust to uncertain inputs? Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

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

Are vision language models robust to uncertain inputs? Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

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This paper cites Do Deep Generative Models Know What They Don't Know?.

Are vision language models robust to uncertain inputs? Do Deep Generative Models Know What They Don't Know?

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Are vision language models robust to uncertain inputs? Dropout as a structured shrinkage prior

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This paper cites Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality.

Are vision language models robust to uncertain inputs? Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

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This paper cites Bayesian learning for neural networks, volume 118.

Are vision language models robust to uncertain inputs? Bayesian learning for neural networks, volume 118

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This paper cites Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities.

Are vision language models robust to uncertain inputs? Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities

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Are vision language models robust to uncertain inputs? Measuring calibration in deep learning

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This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift.

Are vision language models robust to uncertain inputs? Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift

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This paper cites Astroclip: a cross-modal foundation model for galaxies.

Are vision language models robust to uncertain inputs? Astroclip: a cross-modal foundation model for galaxies

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Are vision language models robust to uncertain inputs? Learning transferable visual models from natural language supervision

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This paper cites Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pp.\ 5389--5400.

Are vision language models robust to uncertain inputs? Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pp.\ 5389--5400

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Are vision language models robust to uncertain inputs? Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Are vision language models robust to uncertain inputs? Test-time adaptation with state-space models

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This paper cites Improving robustness against common corruptions by covariate shift adaptation.

Are vision language models robust to uncertain inputs? Improving robustness against common corruptions by covariate shift adaptation

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This paper cites Towards Understanding Sycophancy in Language Models.

Are vision language models robust to uncertain inputs? Towards Understanding Sycophancy in Language Models

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This paper cites Ptb-xl, a large publicly available electrocardiography dataset.

Are vision language models robust to uncertain inputs? Ptb-xl, a large publicly available electrocardiography dataset

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This paper cites Galaxymnist: Galaxy images labelled by morphology (shape).

Are vision language models robust to uncertain inputs? Galaxymnist: Galaxy images labelled by morphology (shape)

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Observation 59e6728a-bac4-4de4-8a66-6466038538dd · outbound

This paper cites Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies.

Are vision language models robust to uncertain inputs? Galaxy zoo decals: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:52:56.912789Z

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This paper cites Towards Galaxy Foundation Models with Hybrid Contrastive Learning.

Are vision language models robust to uncertain inputs? Towards Galaxy Foundation Models with Hybrid Contrastive Learning

Reference 62

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

Are vision language models robust to uncertain inputs? Tent: Fully test-time adaptation by entropy minimization

Reference 63

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This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Are vision language models robust to uncertain inputs? Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

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This paper cites GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis.

Are vision language models robust to uncertain inputs? GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis

Reference 65

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This paper cites Robustness to corruption in pre-trained bayesian neural networks.

Are vision language models robust to uncertain inputs? Robustness to corruption in pre-trained bayesian neural networks

Reference 66

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This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Are vision language models robust to uncertain inputs? Chain-of-thought prompting elicits reasoning in large language models

Reference 67

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This paper cites How Good is the Bayes Posterior in Deep Neural Networks Really?.

Are vision language models robust to uncertain inputs? How Good is the Bayes Posterior in Deep Neural Networks Really?

Reference 68

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This paper cites ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms.

Are vision language models robust to uncertain inputs? ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms

Reference 69

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This paper cites VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation.

Are vision language models robust to uncertain inputs? VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 70

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This paper cites write newline.

Are vision language models robust to uncertain inputs? write newline

Reference 71

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