Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics | Paper Citation Record

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This paper cites A review of deep learning based methods for acoustic scene classification.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A review of deep learning based methods for acoustic scene classification

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This paper cites Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning

Reference 2

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This paper cites Mitigating real-world distribution shifts in the fourier domain.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Mitigating real-world distribution shifts in the fourier domain

Reference 3

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This paper cites Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices

Reference 4

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This paper cites Measuring the impact of domain factors in self-supervised pre-training.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Measuring the impact of domain factors in self-supervised pre-training

Reference 5

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This paper cites Imad-ds: A dataset for industrial multi-sensor anomaly detection under domain shift conditions.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Imad-ds: A dataset for industrial multi-sensor anomaly detection under domain shift conditions

Reference 6

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This paper cites Automatic speech recognition using advanced deep learning approaches: A survey.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Automatic speech recognition using advanced deep learning approaches: A survey

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This paper cites Birds, bats and beyond: Evaluating generalization in bioacoustics models.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Birds, bats and beyond: Evaluating generalization in bioacoustics models

Reference 8

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This paper cites Robust sound event detection in bioacoustic sensor networks.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Robust sound event detection in bioacoustic sensor networks

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This paper cites Weather conditions determine attenuation and speed of sound: Environmental limitations for monitoring and analyzing bat echolocation.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Weather conditions determine attenuation and speed of sound: Environmental limitations for monitoring and analyzing bat echolocation

Reference 10

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This paper cites Global birdsong embeddings enable superior transfer learning for bioacoustic classification.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Reference 11

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This paper cites BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics

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This paper cites Improving predictive inference under covariate shift by weighting the log-likelihood function.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Improving predictive inference under covariate shift by weighting the log-likelihood function

Reference 13

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This paper cites Machine learning in non-stationary environments: Introduction to covariate shift adaptation.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Machine learning in non-stationary environments: Introduction to covariate shift adaptation

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This paper cites A theory of learning from different domains.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A theory of learning from different domains

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Unsupervised domain adaptation by backpropagation

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Meta-learning under task shift

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This paper cites Plex: Towards Reliability using Pretrained Large Model Extensions.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Plex: Towards Reliability using Pretrained Large Model Extensions

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This paper cites Change is Hard: A Closer Look at Subpopulation Shift.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Change is Hard: A Closer Look at Subpopulation Shift

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This paper cites Classification in the presence of label noise: a survey.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Classification in the presence of label noise: a survey

Reference 20

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This paper cites Learning with noisy labels.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Learning with noisy labels

Reference 21

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This paper cites Fsd50k: an open dataset of human-labeled sound events.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Fsd50k: an open dataset of human-labeled sound events

Reference 22

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Smote: synthetic minority over-sampling technique

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Learning from imbalanced data

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics mixup: Beyond Empirical Risk Minimization

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

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This paper cites Data augmentation and deep learning methods in sound classification: A systematic review.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Data augmentation and deep learning methods in sound classification: A systematic review

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Improving learning-based birdsong classification by utilizing combined audio augmentation strategies

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Towards deep learning models resistant to adversarial attacks

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics An interpretable deep learning model for automatic sound classification

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Prototype learning for interpretable respiratory sound analysis

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics The interpretability of the activity signal detection model for wood-boring pests semanotus bifasciatus in the larval stage

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Audioprotopnet: An interpretable deep learning model for bird sound classification

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Can Masked Autoencoders Also Listen to Birds?

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Explaining and Harnessing Adversarial Examples

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Theoretically principled trade-off between robustness and accuracy

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial weight perturbation helps robust generalization

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Randomized adversarial training via taylor expansion

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This paper cites A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Towards evaluating the robustness of deep diagnostic models by adversarial attack

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Survey on adversarial attack and defense for medical image analysis: Methods and challenges

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics FreeLB: Enhanced Adversarial Training for Natural Language Understanding

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Towards feature space adversarial attack by style perturbation

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Impact of Adversarial Training on Robustness and Generalizability of Language Models

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial supervised contrastive learning

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Defense against adversarial attacks using feature scattering-based adversarial training

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial self-supervised contrastive learning

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Self-supervised adversarial training

Reference 49

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Contrastive learning with adversarial examples

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Robust pre-training by adversarial contrastive learning

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Self-supervised adversarial training via diverse augmented queries and self-supervised double perturbation

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial attacks and robust defenses in speaker embedding based zero-shot text-to-speech system

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This paper cites Robustness May Be at Odds with Accuracy.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Robustness May Be at Odds with Accuracy

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Precise tradeoffs in adversarial training for linear regression

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A closer look at accuracy vs

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Generalizing to unseen domains via adversarial data augmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.498761Z

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This paper cites Improving out-of-distribution generalization by adversarial training with structured priors.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Improving out-of-distribution generalization by adversarial training with structured priors

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.483141Z

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This paper cites On the connection between invariant learning and adversarial training for out-of-distribution generalization.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics On the connection between invariant learning and adversarial training for out-of-distribution generalization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.467768Z

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This paper cites Attribute-guided adversarial training for robustness to natural perturbations.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Attribute-guided adversarial training for robustness to natural perturbations

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.452959Z

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This paper cites Improved ood generalization via adversarial training and pretraing.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Improved ood generalization via adversarial training and pretraing

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.438844Z

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This paper cites Generalizability of Adversarial Robustness Under Distribution Shifts.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Generalizability of Adversarial Robustness Under Distribution Shifts

Reference 63

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This paper cites ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.013366Z

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Multi-grained interpre table network for image recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.423990Z

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This paper cites Towards robust fine-grained recognition by maximal separation of discriminative features.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Towards robust fine-grained recognition by maximal separation of discriminative features

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.409995Z

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This paper cites Inter- pretability benchmark for evaluating spatial misalignment of prototypical parts explanations.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Inter- pretability benchmark for evaluating spatial misalignment of prototypical parts explanations

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.395262Z

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This paper cites This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.032990Z

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Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Evaluation and improvement of interpretability for self-explainable part-prototype networks

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.377280Z

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This paper cites Adversarial attacks and defenses in images, graphs and text: A review.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial attacks and defenses in images, graphs and text: A review

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.361670Z

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This paper cites Targeted adversarial attacks on wind power forecasts.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Targeted adversarial attacks on wind power forecasts

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.346620Z

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Observation 3ef1724b-4cb1-4da5-a4d1-9664ebca04f1 · outbound

This paper cites On Evaluating Adversarial Robustness.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics On Evaluating Adversarial Robustness

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.049473Z

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This paper cites Adversarial examples in the physical world.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Adversarial examples in the physical world

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.330772Z

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Observation fddd3178-991f-48e9-bd46-338774587033 · outbound

This paper cites The Search for Squawk: Agile Modeling in Bioacoustics.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics The Search for Squawk: Agile Modeling in Bioacoustics

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.058087Z

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This paper cites Cosine normalization: Using cosine similarity instead of dot product in neural networks.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Cosine normalization: Using cosine similarity instead of dot product in neural networks

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.316068Z

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Observation 8ea709bc-60c3-4d9a-ab4c-96fe120dc6dd · outbound

This paper cites Semantics at an Angle: When Cosine Similarity Works Until It Doesn't.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Semantics at an Angle: When Cosine Similarity Works Until It Doesn't

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.067047Z

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This paper cites Rectified linear units improve restricted boltzmann machines.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Rectified linear units improve restricted boltzmann machines

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.072193Z

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This paper cites Review of artificial intelligence adversarial attack and defense technologies.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Review of artificial intelligence adversarial attack and defense technologies

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.291132Z

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Observation 269593c0-a39a-4990-92d2-b338f3690183 · outbound

This paper cites Advances in adversarial attacks and defenses in computer vision: A survey.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Advances in adversarial attacks and defenses in computer vision: A survey

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.276534Z

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Observation 1fdf92c2-f94f-46ff-8b4f-a71d53a46c25 · outbound

This paper cites On Detecting Adversarial Perturbations.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics On Detecting Adversarial Perturbations

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.087291Z

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This paper cites Intriguing properties of neural networks.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Intriguing properties of neural networks

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.092028Z

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This paper cites Asymmetric loss for multi-label classification.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Asymmetric loss for multi-label classification

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.261718Z

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This paper cites ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training

Reference 83

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This paper cites Understanding and increasing efficiency of frank-wolfe adversarial training.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Understanding and increasing efficiency of frank-wolfe adversarial training

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.247442Z

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Observation d8aa806c-7a28-40ed-815b-a82d02514973 · outbound

This paper cites Fast is better than free: Revisiting adversarial training.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Fast is better than free: Revisiting adversarial training

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.109282Z

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This paper cites Understanding and improving fast adversarial training.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Understanding and improving fast adversarial training

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:11.113369Z

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This paper cites The xeno-canto collection and its relation to sound recognition and classification.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics The xeno-canto collection and its relation to sound recognition and classification

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.223520Z

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Observation 9c099a07-cff7-4581-9ee4-f17ef04e3752 · outbound

This paper cites Chronister, Tessa A.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Chronister, Tessa A

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.209881Z

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Observation 74cba020-2cb5-46d8-a091-627ba63b16a4 · outbound

This paper cites A collection of fully-annotated soundscape recordings from the southern sierra nevada mountain range, 2023.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A collection of fully-annotated soundscape recordings from the southern sierra nevada mountain range, 2023

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.195050Z

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This paper cites Nips4bplus: a richly annotated birdsong audio dataset.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Nips4bplus: a richly annotated birdsong audio dataset

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.180013Z

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Observation dfe531c4-67b3-4bca-9901-038fbb6c9ce2 · outbound

This paper cites Symes, Viviana Ruiz-Gutiérrez, Ingrid Molina-Mora, Fernando Cediel, Luis Sandoval, and Holger Klinck.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Symes, Viviana Ruiz-Gutiérrez, Ingrid Molina-Mora, Fernando Cediel, Luis Sandoval, and Holger Klinck

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.166431Z

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This paper cites Alexander Hopping, Stefan Kahl, and Holger Klinck.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Alexander Hopping, Stefan Kahl, and Holger Klinck

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.151685Z

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Observation eb30f04b-36dc-4173-8882-be1f65e3a67f · outbound

This paper cites Wood, Philip Chaon, M.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Wood, Philip Chaon, M

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.137118Z

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Observation 9139fc4a-227d-4c00-b2f1-f2541ef6ad1f · outbound

This paper cites A collection of fully-annotated soundscape recordings from the northeastern united states, 2022.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A collection of fully-annotated soundscape recordings from the northeastern united states, 2022

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.122039Z

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Observation 6f0550f7-8554-40a0-b871-cad9f3957a78 · outbound

This paper cites A collection of fully-annotated soundscape recordings from the island of hawai’i, 2022.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A collection of fully-annotated soundscape recordings from the island of hawai’i, 2022

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.107251Z

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Observation 8c85c776-5059-4d34-8b14-8b56e0871351 · outbound

This paper cites Unsupervised classification to improve the quality of a bird song recording dataset.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Unsupervised classification to improve the quality of a bird song recording dataset

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.092197Z

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Observation efe53a53-1668-4f9c-8884-b09bd050d219 · outbound

This paper cites Improving bird classification with unsupervised sound separation.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics Improving bird classification with unsupervised sound separation

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.077510Z

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Observation 689a5c9b-a4cf-4297-b781-57327314aae6 · outbound

This paper cites BirdV ox-DCASE- 20k: A dataset for bird audio detection in 10-second clips, 2018.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics BirdV ox-DCASE- 20k: A dataset for bird audio detection in 10-second clips, 2018

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:24:12.061858Z

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Observation d70f57b8-a892-4019-809c-e742ae54d57d · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 99

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This paper cites A convnet for the 2020s.

Adversarial Training Improves Generalization Under Distribution Shifts in Bioacoustics A convnet for the 2020s

Reference 100

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