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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Mining, Assessing, and Improving Arguments in NLP and the Social Sciences COLING 2024 Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training NeurIPS 2024 MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering ACL 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NeurIPS 2024 Mirage: Model-agnostic Graph Distillation for Graph Classification ICLR 2024 Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract COLT 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation IJCAI 2024 MisgenderMender: A Community-Informed Approach to Interventions for Misgendering NAACL 2024 MisinfoEval: Generative AI in the Era of “Alternative Facts” EMNLP 2024 Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation WACV 2024 Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination ACL 2024 Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NeurIPS 2024 Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language EMNLP 2024 Mitigating Bias for Question Answering Models by Tracking Bias Influence NAACL 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Label Bias in Machine Learning: Fairness through Confident Learning AAAI 2024 Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation NAACL 2024 Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization Interspeech 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024