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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)

Precision vs. Perturbation: Robustness Analysis of Synonym Attacks in Ukrainian NLP ACL 2025 Predicting Implicit Arguments in Procedural Video Instructions ACL 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning ICLR 2025 Predicting the Year of Total Knee Replacement: A Transformer-Based Multimodal Approach MIDL 2025 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025 Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding ICCV 2025 Preference Optimization for Reasoning with Pseudo Feedback ICLR 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 PresentAgent: Multimodal Agent for Presentation Video Generation EMNLP 2025 Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing CVPR 2025 Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception ICCV 2025 Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers EMNLP 2025 Pre-Trained Vision-Language Models as Noisy Partial Annotators AAAI 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck AAAI 2025 Pretraining Strategies using Monolingual and Parallel Data for Low-Resource Machine Translation ACL 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction WACV 2025 PriFold: Biological Priors Improve RNA Secondary Structure Predictions AAAI 2025 Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training EMNLP 2025 Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025 Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery AAAI 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025