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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)

MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models ACL 2026 MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology MIDL 2026 MOA: Multi-Objective Alignment for Role-Playing Agents ACL 2026 MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment ACL 2026 Mobile-VTON: High-Fidelity On-Device Virtual Try-On CVPR 2026 MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment CVPR 2026 MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings ACL 2026 MoCha: End-to-End Video Character Replacement without Structural Guidance CVPR 2026 Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards ACL 2026 MoCoDiff: A Controllable Autoregressive Diffusion Model for Expressive Motion Generation CVPR 2026 MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization CVPR 2026 Model Agnostic Graph Prompt Learning for Crystal Property Prediction UAI 2026 Model-free Domain Adaptation for Concealed Multimodal Large-Language Models WACV 2026 Modeling Cross-vision Synergy for Unified Large Vision Model CVPR 2026 Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space UAI 2026 Model Merging in the Essential Subspace CVPR 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 Modular Monolingual Adaptation using Pretrained Language Models ACL 2026 ModusPonens at SemEval-2026 Task 11: Breaking the Plausibility Trap in LLMs via Conflict-Aware Ensembling SemEval 2026 MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly Detection CVPR 2026 Momentum Memory for Knowledge Distillation in Computational Pathology CVPR 2026 MoMo at SemEval-2026 Task 9: Inference-Only Prompting vs. Fine-Tuning for Multilingual Polarization Detection SemEval 2026 Monet: Reasoning in Latent Visual Space Beyond Image and Language CVPR 2026 MoodMetric at SemEval-2026 Task 4:Narrative Story Similarity and Narrative Representation Learning SemEval 2026 MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding CVPR 2026