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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025 MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking ICML 2025 MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices EMNLP 2025 MONAS-ESNN: Multi-Objective Neural Architecture Search for Efficient Spiking Neural Networks WACV 2025 Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation ICLR 2025 Monet: Mixture of Monosemantic Experts for Transformers ICLR 2025 Monitoring Primitive Interactions During the Training of DNNs AAAI 2025 MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint AAAI 2025 Monolingual Adapter Networks for Efficient Cross-Lingual Alignment EMNLP 2025 MonoMixer: Marrying Convolution and Vision Transformer for Efficient Self-Supervised Monocular Depth Estimation IJCAI 2025 MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos ICCV 2025 MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection CVPR 2025 MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications WACV 2025 MonoSOWA: Scalable Monocular 3D Object Detector Without Human Annotations ICCV 2025 MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection CVPR 2025 MonoTODia: Translating Monologue Requests to Task-Oriented Dialogues NAACL 2025 MonSTeR: a Unified Model for Motion, Scene, Text Retrieval ICCV 2025 MonSter: Marry Monodepth to Stereo Unleashes Power CVPR 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025 Monte Carlo Tree Diffusion for System 2 Planning ICML 2025 Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning ICLR 2025 MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection ACL 2025 MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses ICLR 2025 MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025