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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)

Sometimes We Want Ungrammatical Translations EMNLP 2021 SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map EMNLP 2021 Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021 Source-Free Domain Adaptation for Semantic Segmentation CVPR 2021 Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation IJCAI 2021 “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy EMNLP 2021 Space-Time Distillation for Video Super-Resolution CVPR 2021 SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining EMNLP 2021 Span Fine-tuning for Pre-trained Language Models EMNLP 2021 Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing EMNLP 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation ICCV 2021 Sparse Training via Boosting Pruning Plasticity with Neuroregeneration NeurIPS 2021 Sparsity Aware Normalization for GANs AAAI 2021 Spatial Assembly Networks for Image Representation Learning CVPR 2021 Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework NeurIPS 2021 Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation CVPR 2021 Spatially Consistent Representation Learning CVPR 2021 Spatially-Varying Outdoor Lighting Estimation From Intrinsics CVPR 2021 Spatial-temporal Causal Inference for Partial Image-to-video Adaptation AAAI 2021 Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation ACML 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning IJCAI 2021 Spatio-temporal Contrastive Domain Adaptation for Action Recognition CVPR 2021 Spatiotemporal Contrastive Video Representation Learning CVPR 2021 Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems AAAI 2021