Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
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'25
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