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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models AAAI 2025 MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights AAAI 2025 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CVPR 2025 MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025 Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization UAI 2025 Moment Quantization for Video Temporal Grounding ICCV 2025 Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction ICCV 2025 Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025 Mondrian: A Framework for Logical Abstract (Re)Structuring EMNLP 2025 MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction CVPR 2025 Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training CVPR 2025 MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications WACV 2025 MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models CVPR 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 Moonshine: Distilling Game Content Generators into Steerable Generative Models AAAI 2025 MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025 MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Interspeech 2025 MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning ACL 2025 MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation AAAI 2025 More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025 MORE: Molecule Pretraining with Multi-Level Pretext Task AAAI 2025 MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025 mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus ACL 2025 MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning ICCV 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025