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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)

Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021 Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment IJCAI 2021 Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification ACL 2021 HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles AAAI 2021 High-Fidelity and Arbitrary Face Editing CVPR 2021 High-Fidelity Neural Human Motion Transfer From Monocular Video CVPR 2021 High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model Interspeech 2021 High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical Task EMNLP 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras CVPR 2021 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021 Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment IJCAI 2021 HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints EMNLP 2021 HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching CVPR 2021 Holistic 3D Scene Understanding From a Single Image With Implicit Representation CVPR 2021 Home Action Genome: Cooperative Compositional Action Understanding CVPR 2021 HOTR: End-to-End Human-Object Interaction Detection With Transformers CVPR 2021 HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations EMNLP 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language CVPR 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021 How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy EMNLP 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021 How Do We Move: Modeling Human Movement with System Dynamics AAAI 2021 How effective is BERT without word ordering? Implications for language understanding and data privacy ACL 2021