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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)

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation NeurIPS 2020 ExpBERT: Representation Engineering with Natural Language Explanations ACL 2020 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Explainable Data Decompositions AAAI 2020 Explainable Reinforcement Learning through a Causal Lens AAAI 2020 Explaining Knowledge Distillation by Quantifying the Knowledge CVPR 2020 Explanation by Progressive Exaggeration ICLR 2020 Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA AAAI 2020 Explicit Gradient Learning for Black-Box Optimization ICML 2020 Explicit Regularisation in Gaussian Noise Injections NeurIPS 2020 Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection AAAI 2020 Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020 Exploiting Cross-Domain Visual Feature Generation for Disordered Speech Recognition Interspeech 2020 Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification AAAI 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition AAAI 2020 Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking AAAI 2020 Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning EMNLP 2020 Exploiting Unsupervised Data for Emotion Recognition in Conversations EMNLP 2020 Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming EMNLP 2020 Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection CVPR 2020 Exploring Categorical Regularization for Domain Adaptive Object Detection CVPR 2020 Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation CVPR 2020 Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer ACL 2020 Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020