Deep Learning

Adversarial Feature Map Pruning for Backdoor ICLR 2024 Adversarial Imitation Learning via Boosting ICLR 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarial Learning for Multi-Lingual Entity Linking ACL 2024 Adversarial Likelihood Estimation With One-Way Flows WACV 2024 Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024 Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework ICML 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 Adversarial Math Word Problem Generation EMNLP 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 Adversarial Text Generation using Large Language Models for Dementia Detection EMNLP 2024 Adversarial Text to Continuous Image Generation CVPR 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 A Dynamical Model of Neural Scaling Laws ICML 2024 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning AAAI 2024 A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024 AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error CVPR 2024 AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer AAAI 2024 AESim: A Data-Driven Aircraft Engine Simulator IJCAI 2024 AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024 A faster and simpler algorithm for learning shallow networks COLT 2024 AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024