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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Adversarial Attacks on Data Attribution ICLR 2025 Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach AAAI 2025 Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches WACV 2025 Adversarial Attention Perturbations for Large Object Detection Transformers ICCV 2025 Adversarial Contrastive Graph Augmentation with Counterfactual Regularization AAAI 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization ICCV 2025 Adversarial Diffusion Compression for Real-World Image Super-Resolution CVPR 2025 Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis ICCV 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025 Adversarial Exploitation of Data Diversity Improves Visual Localization ICCV 2025 Adversarial Generative Flow Network for Solving Vehicle Routing Problems ICLR 2025 Adversarial Inception Backdoor Attacks against Reinforcement Learning ICML 2025 Adversarial Inputs for Linear Algebra Backends ICML 2025 Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025 Adversarial Latent Feature Augmentation for Fairness ICLR 2025 Adversarial Learning Based Knowledge Distillation on 3D Point Clouds WACV 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings ICLR 2025 Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits AISTATS 2025 Adversarial Machine Unlearning ICLR 2025 Adversarial Mixup Unlearning ICLR 2025 Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian ICML 2025 Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI ICLR 2025