adversarial training

Counterfactual Adversarial Learning with Representation Interpolation EMNLP 2021 Cross-Lingual Leveled Reading Based on Language-Invariant Features EMNLP 2021 Cross-Modal Learning for Audio-Visual Video Parsing Interspeech 2021 DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation CVPR 2021 Data Augmentation Can Improve Robustness NeurIPS 2021 Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT EACL 2021 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021 Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021 Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks NeurIPS 2021 Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation ICCV 2021 Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization AISTATS 2021 Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training AAAI 2021 Encoding Robustness to Image Style via Adversarial Feature Perturbations NeurIPS 2021 ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction EACL 2021 Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion Interspeech 2021 Excess Capacity and Backdoor Poisoning NeurIPS 2021 Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation AAAI 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021 Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CoRL 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NeurIPS 2021 Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021 FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021