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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)

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning ICML 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 State Aware Imitation Learning NeurIPS 2017 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling CVPR 2017 Steering Output Style and Topic in Neural Response Generation EMNLP 2017 Straight to Shapes: Real-Time Detection of Encoded Shapes CVPR 2017 Structured Generative Adversarial Networks NeurIPS 2017 Student-Teacher Training with Diverse Decision Tree Ensembles Interspeech 2017 StyleBank: An Explicit Representation for Neural Image Style Transfer CVPR 2017 Style Transfer from Non-Parallel Text by Cross-Alignment NeurIPS 2017 Supervised Attention for Sequence-to-Sequence Constituency Parsing IJCNLP 2017 Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code IJCAI 2017 Supervised Learning of Universal Sentence Representations from Natural Language Inference Data EMNLP 2017 Supervising Neural Attention Models for Video Captioning by Human Gaze Data CVPR 2017 SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability NeurIPS 2017 Switching Convolutional Neural Network for Crowd Counting CVPR 2017 Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description CVPR 2017 Teaching Compositionality to CNNs CVPR 2017 Teaching Machines to Describe Images with Natural Language Feedback NeurIPS 2017 Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks NeurIPS 2017 Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants EMNLP 2017 Tensor Fusion Network for Multimodal Sentiment Analysis EMNLP 2017 The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives CVPR 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CoRL 2017 The Reversible Residual Network: Backpropagation Without Storing Activations NeurIPS 2017