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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
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'25

Papers (including subtopics)

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation CoRL 2017 Interactive Abstractive Summarization for Event News Tweets EMNLP 2017 Interactive Visualization and Manipulation of Attention-based Neural Machine Translation EMNLP 2017 Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NeurIPS 2017 Interspecies Knowledge Transfer for Facial Keypoint Detection CVPR 2017 Invariance and Stability of Deep Convolutional Representations NeurIPS 2017 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017 i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification Interspeech 2017 Joint CTC/attention decoding for end-to-end speech recognition ACL 2017 Joint Detection and Identification Feature Learning for Person Search CVPR 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks IJCNLP 2017 Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals CVPR 2017 Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation CVPR 2017 Kernel Pooling for Convolutional Neural Networks CVPR 2017 Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017 Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NeurIPS 2017 Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL 2017 Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017 Latent Intention Dialogue Models ICML 2017 Latent Space Embedding for Retrieval in Question-Answer Archives EMNLP 2017 Learning a Deep Embedding Model for Zero-Shot Learning CVPR 2017 Learning a Multi-View Stereo Machine NeurIPS 2017 Learning a Neural Semantic Parser from User Feedback ACL 2017 Learning attention for historical text normalization by learning to pronounce ACL 2017