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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)

A Mobile Application for Sound Event Detection IJCAI 2019 A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019 A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention ACML 2019 A Modular Architecture for Unsupervised Sarcasm Generation EMNLP 2019 AMR Parsing as Sequence-to-Graph Transduction ACL 2019 Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines AAAI 2019 A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction ACL 2019 A Multi-Task Learning Framework for Abstractive Text Summarization AAAI 2019 An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss AAAI 2019 An Alternative Deep Feature Approach to Line Level Keyword Spotting CVPR 2019 Analysing Coreference in Transformer Outputs EMNLP 2019 Analysing Mathematical Reasoning Abilities of Neural Models ICLR 2019 Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding Interspeech 2019 Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs AAAI 2019 Analyzing and Improving Representations with the Soft Nearest Neighbor Loss ICML 2019 An Analysis of Source-Side Grammatical Errors in NMT ACL 2019 An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition CVPR 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction EMNLP 2019 An Empirical Study of Span Representations in Argumentation Structure Parsing ACL 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019 An End-To-End Network for Generating Social Relationship Graphs CVPR 2019 An End-To-End Network for Panoptic Segmentation CVPR 2019