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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation ACL 2025 Memorization is Language-Sensitive: Analyzing Memorization and Inference Risks of LLMs in a Multilingual Setting ACL 2025 Memorization or Reasoning? Exploring the Idiom Understanding of LLMs EMNLP 2025 Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition? EMNLP 2025 Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction AAAI 2025 Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning ACL 2025 Memory OS of AI Agent EMNLP 2025 Memory-QA: Answering Recall Questions Based on Multimodal Memories EMNLP 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders AAAI 2025 MENTOR: Human Perception-Guided Pretraining for Increased Generalization WACV 2025 MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025 MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation AAAI 2025 Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025 MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities AAAI 2025 MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization CVPR 2025 MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning ACL 2025 MERMAID: Multi-perspective Self-reflective Agents with Generative Augmentation for Emotion Recognition EMNLP 2025 MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image CVPR 2025 Mesh-Prompted Anatomy Segmentation MIDL 2025 MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025 Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer WACV 2025 Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion AISTATS 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025