{"total":60,"rows":[{"id":"2101.08452","title":"Robust Reinforcement Learning on State Observations with Learned Optimal Adversary","created":"2021-01-21","cited_by_count":135,"area":null},{"id":"2107.03158","title":"A Survey on Data Augmentation for Text Classification","created":"2021-07-07","cited_by_count":111,"area":null},{"id":"2104.04448","title":"Relating Adversarially Robust Generalization to Flat Minima","created":"2021-04-09","cited_by_count":57,"area":null},{"id":"2208.11296","title":"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey","created":"2022-08-24","cited_by_count":52,"area":null},{"id":"2102.04376","title":"Adversarially Guided Actor-Critic","created":"2021-02-08","cited_by_count":47,"area":null},{"id":"2312.14820","title":"How Smooth Is Attention?","created":"2023-12-22","cited_by_count":44,"area":null},{"id":"2105.14148","title":"OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers","created":"2021-05-28","cited_by_count":43,"area":null},{"id":"2303.02011","title":"Diagnosing Model Performance Under Distribution Shift","created":"2023-03-03","cited_by_count":39,"area":null},{"id":"2107.10137","title":"Improved Text Classification via Contrastive Adversarial Training","created":"2021-07-21","cited_by_count":38,"area":null},{"id":"2306.07651","title":"Variational Positive-incentive Noise: How Noise Benefits Models","created":"2023-06-13","cited_by_count":38,"area":null},{"id":"2202.13437","title":"A Unified Wasserstein Distributional Robustness Framework for Adversarial Training","created":"2022-02-27","cited_by_count":36,"area":null},{"id":"2104.02000","title":"Can audio-visual integration strengthen robustness under multimodal attacks?","created":"2021-04-05","cited_by_count":23,"area":null},{"id":"2306.07483","title":"Semi-supervised learning made simple with self-supervised clustering","created":"2023-06-13","cited_by_count":20,"area":null},{"id":"2105.03053","title":"Salient Objects in Clutter","created":"2021-05-07","cited_by_count":19,"area":null},{"id":"2104.01853","title":"Rethinking Perturbations in Encoder-Decoders for Fast Training","created":"2021-04-05","cited_by_count":17,"area":null},{"id":"2212.05102","title":"A soft nearest-neighbor framework for continual semi-supervised learning","created":"2022-12-09","cited_by_count":17,"area":null},{"id":"2305.14984","title":"Adversarial robustness of amortized Bayesian inference","created":"2023-05-24","cited_by_count":17,"area":null},{"id":"2403.10045","title":"Towards Adversarially Robust Dataset Distillation by Curvature Regularization","created":"2024-03-15","cited_by_count":17,"area":null},{"id":"2108.09891","title":"Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency","created":"2021-08-23","cited_by_count":12,"area":null},{"id":"2203.00553","title":"Global-Local Regularization Via Distributional Robustness","created":"2022-03-01","cited_by_count":11,"area":null},{"id":"2103.13696","title":"SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama","created":"2021-03-25","cited_by_count":9,"area":null},{"id":"2105.08007","title":"Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective","created":"2021-05-17","cited_by_count":9,"area":null},{"id":"2104.08323","title":"Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators","created":"2021-04-16","cited_by_count":6,"area":null},{"id":"2109.05793","title":"Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models","created":"2021-09-13","cited_by_count":5,"area":null},{"id":"2306.04178","title":"Optimal Transport Model Distributional Robustness","created":"2023-06-07","cited_by_count":5,"area":null},{"id":"2407.01316","title":"Evaluating Model Performance Under Worst-case Subpopulations","created":"2024-07-01","cited_by_count":5,"area":null},{"id":"2412.16361","title":"Toward Robust Neural Reconstruction from Sparse Point Sets","created":"2024-12-20","cited_by_count":5,"area":null},{"id":"2102.12192","title":"Multiplicative Reweighting for Robust Neural Network Optimization","created":"2021-02-24","cited_by_count":4,"area":null},{"id":"2109.08191","title":"Simple Post-Training Robustness Using Test Time Augmentations and Random Forest","created":"2021-09-16","cited_by_count":4,"area":null},{"id":"2211.16316","title":"A3T: Accuracy Aware Adversarial Training","created":"2022-11-29","cited_by_count":4,"area":null},{"id":"2312.17591","title":"Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training","created":"2023-12-29","cited_by_count":4,"area":null},{"id":"2109.07177","title":"Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup","created":"2021-09-15","cited_by_count":3,"area":null},{"id":"2310.03285","title":"Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations","created":"2023-10-05","cited_by_count":3,"area":null},{"id":"2405.07387","title":"Semantic Loss Functions for Neuro-Symbolic Structured Prediction","created":"2024-05-12","cited_by_count":3,"area":null},{"id":"2102.02307","title":"Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out","created":"2021-02-03","cited_by_count":2,"area":null},{"id":"2107.12706","title":"Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces","created":"2021-07-27","cited_by_count":2,"area":null},{"id":"2110.06135","title":"Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction","created":"2021-10-12","cited_by_count":2,"area":null},{"id":"2208.09668","title":"Generalised Co-Salient Object Detection","created":"2022-08-20","cited_by_count":2,"area":null},{"id":"2209.01962","title":"Adversarial Detection: Attacking Object Detection in Real Time","created":"2022-09-05","cited_by_count":2,"area":null},{"id":"2305.08501","title":"Label Smoothing is Robustification against Model Misspecification","created":"2023-05-15","cited_by_count":2,"area":null},{"id":"2307.10097","title":"Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation","created":"2023-07-19","cited_by_count":2,"area":null},{"id":"2104.08635","title":"UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection","created":"2021-04-17","cited_by_count":1,"area":null},{"id":"2108.12719","title":"A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry","created":"2021-08-28","cited_by_count":1,"area":null},{"id":"2203.01895","title":"Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training","created":"2022-03-03","cited_by_count":1,"area":null},{"id":"2206.11851","title":"Context-based Virtual Adversarial Training for Text Classification with Noisy Labels","created":"2022-05-29","cited_by_count":1,"area":null},{"id":"2310.10610","title":"Quantifying Assistive Robustness Via the Natural-Adversarial Frontier","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2405.18499","title":"Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2109.05470","title":"DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems","created":"2021-09-12","cited_by_count":0,"area":null},{"id":"2110.04572","title":"X-model: Improving Data Efficiency in Deep Learning with A Minimax Model","created":"2021-10-09","cited_by_count":0,"area":null},{"id":"2112.01777","title":"Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models","created":"2021-12-03","cited_by_count":0,"area":null},{"id":"2112.08200","title":"Taming Overconfident Prediction on Unlabeled Data from Hindsight","created":"2021-12-15","cited_by_count":0,"area":null},{"id":"2202.02503","title":"Adversarial Detector with Robust Classifier","created":"2022-02-05","cited_by_count":0,"area":null},{"id":"2210.14576","title":"Uncertainty Sentence Sampling by Virtual Adversarial Perturbation","created":"2022-10-26","cited_by_count":0,"area":null},{"id":"2304.13140","title":"ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode","created":"2023-04-19","cited_by_count":0,"area":null},{"id":"2308.01408","title":"UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles","created":"2023-08-02","cited_by_count":0,"area":null},{"id":"2401.11723","title":"Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them","created":"2024-01-22","cited_by_count":0,"area":null},{"id":"2407.04243","title":"Exploration of Class Center for Fine-Grained Visual Classification","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2503.01114","title":"Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2607.04145","title":"Binary Iterative Method for Non-targeted Adversarial Attack","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2609.09367","title":"Explaining f-Divergence-Based Regularization via Local Curvature and Sharpness-Aware Minimization","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}