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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
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'25

Papers (including subtopics)

Noising Scheme for Data Augmentation in Automatic Post-Editing EMNLP 2020 Non-Adversarial Video Synthesis With Learned Priors CVPR 2020 Non-Autoregressive Dialog State Tracking ICLR 2020 Non-Autoregressive Grammatical Error Correction Toward a Writing Support System AACL 2020 Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning IJCAI 2020 Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification AAAI 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 Non-Parallel Emotion Conversion Using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator Interspeech 2020 Non-Parallel Many-to-Many Voice Conversion with PSR-StarGAN Interspeech 2020 Normal Assisted Stereo Depth Estimation CVPR 2020 Normalization of Long-tail Adverse Drug Reactions in Social Media EMNLP 2020 Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets EMNLP 2020 Novel Object Viewpoint Estimation Through Reconstruction Alignment CVPR 2020 Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera CVPR 2020 NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications EMNLP 2020 NRC Systems for the 2020 Inuktitut-English News Translation Task EMNLP 2020 NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis SemEval 2020 Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NeurIPS 2020 NwQM: A neural quality assessment framework for Wikipedia EMNLP 2020 Object Instance Mining for Weakly Supervised Object Detection AAAI 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Object Relational Graph With Teacher-Recommended Learning for Video Captioning CVPR 2020 Observational Overfitting in Reinforcement Learning ICLR 2020