Application Areas

Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023 Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning CoNLL 2023 Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023 Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023 MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers EACL 2023 Mini But Mighty: Efficient Multilingual Pretraining with Linguistically-Informed Data Selection EACL 2023 Minimax AUC Fairness: Efficient Algorithm with Provable Convergence AAAI 2023 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy NeurIPS 2023 Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation CVPR 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 Minimum Variance Unbiased N:M Sparsity for the Neural Gradients ICLR 2023 Mining bias-target Alignment from Voronoi Cells ICCV 2023 miniStreamer: Enhancing Small Conformer with Chunked-Context Masking for Streaming ASR Applications on the Edge Interspeech 2023 Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AISTATS 2023 Mirror Diffusion Models for Constrained and Watermarked Generation NeurIPS 2023 Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions? WACV 2023 Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP EACL 2023 Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023 Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground ICCV 2023 Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023 Mitigating Bias: Enhancing Image Classification by Improving Model Explanations ACML 2023 Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023 Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation EMNLP 2023 Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting EACL 2023 Mitigating Framing Bias with Polarity Minimization Loss EMNLP 2023