Deep Learning

Matrix Information Theory for Self-Supervised Learning ICML 2024 Matrix Manifold Neural Networks++ ICLR 2024 MatrixNet: Learning over symmetry groups using learned group representations NeurIPS 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Matryoshka Diffusion Models ICLR 2024 Matryoshka Query Transformer for Large Vision-Language Models NeurIPS 2024 MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources ACL 2024 MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024 Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends ACL 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NeurIPS 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 Mayfly: a Neural Data Structure for Graph Stream Summarization ICLR 2024 M-BEV: Masked BEV Perception for Robust Autonomous Driving AAAI 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 MCA: Moment Channel Attention Networks AAAI 2024 McCrolin: Multi-consistency Cross-lingual Training for Retrieval Question Answering EMNLP 2024 MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer COLING 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NeurIPS 2024 MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 MCM: Multi-condition Motion Synthesis Framework IJCAI 2024