Deep Learning

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation CVPR 2024 mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models ACL 2024 MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes CVPR 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making NeurIPS 2024 MDFL: Multi-Domain Diffusion-Driven Feature Learning AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024 MD tree: a model-diagnostic tree grown on loss landscape ICML 2024 MeaCap: Memory-Augmented Zero-shot Image Captioning CVPR 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Mean-field Chaos Diffusion Models ICML 2024 Mean-Shift Feature Transformer CVPR 2024 Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework AAAI 2024 MEANT: Multimodal Encoder for Antecedent Information EMNLP 2024 Measuring Dejavu Memorization Efficiently NeurIPS 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset NeurIPS 2024 Measuring Per-Unit Interpretability at Scale Without Humans NeurIPS 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NeurIPS 2024 Measuring Psychological Depth in Language Models EMNLP 2024 Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks AAAI 2024 Mechanics of Next Token Prediction with Self-Attention AISTATS 2024 Mechanistic Design and Scaling of Hybrid Architectures ICML 2024 Mechanistic Neural Networks for Scientific Machine Learning ICML 2024