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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)

Improving Neural Conversational Models with Entropy-Based Data Filtering ACL 2019 Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning CoNLL 2019 Improving Neural Question Generation Using Answer Separation AAAI 2019 Improving Precision of Grammatical Error Correction with a Cheat Sheet ACL 2019 Improving Question Generation With to the Point Context EMNLP 2019 Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing CVPR 2019 Improving Relation Extraction with Knowledge-attention EMNLP 2019 Improving Robustness of Neural Machine Translation with Multi-task Learning ACL 2019 Improving Semantic Segmentation via Video Propagation and Label Relaxation CVPR 2019 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training CVPR 2019 Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior EMNLP 2019 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 Incorporating Figure Captions and Descriptive Text in MeSH Term Indexing ACL 2019 Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning EMNLP 2019 Incorporating Linguistic Constraints into Keyphrase Generation ACL 2019 Incorporating Source Syntax into Transformer-Based Neural Machine Translation ACL 2019 Incorporating Structured Commonsense Knowledge in Story Completion AAAI 2019 Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks ACL 2019 Incorporating Visual Semantics into Sentence Representations within a Grounded Space EMNLP 2019 Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring ACL 2019 Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings ACL 2019 Incremental Learning from Scratch for Task-Oriented Dialogue Systems ACL 2019 Incremental Object Learning From Contiguous Views CVPR 2019