model robustness

Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology EMNLP 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Towards Trustworthy Deep Learning AAAI 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks ICLR 2024 Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024 Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness EMNLP 2024 Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack NeurIPS 2024 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NeurIPS 2024 WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions EMNLP 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness NAACL 2024 Zero-Shot Robustification of Zero-Shot Models ICLR 2024 AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff ICCV 2023 A Large-Scale Robustness Analysis of Video Action Recognition Models CVPR 2023 Alignment with human representations supports robust few-shot learning NeurIPS 2023 A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories CVPR 2023 Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation IJCAI 2023 Architectural Backdoors in Neural Networks CVPR 2023 Are Sample-Efficient NLP Models More Robust? ACL 2023 Bayesian Federated Learning: A Survey IJCAI 2023 Benchmarking Robustness to Adversarial Image Obfuscations NeurIPS 2023 Calibrating Multimodal Learning ICML 2023