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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)

An End-to-End Text-Independent Speaker Verification Framework with a Keyword Adversarial Network Interspeech 2019 An Entity-Driven Framework for Abstractive Summarization EMNLP 2019 A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning ACL 2019 A neurally plausible model for online recognition and postdiction in a dynamical environment NeurIPS 2019 A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization AAAI 2019 A Neural Network Approach for Birds of a Feather Solvability Prediction AAAI 2019 A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition CVPR 2019 A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models EMNLP 2019 A Neural Temporal Model for Human Motion Prediction CVPR 2019 An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation ACL 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019 A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019 Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval AAAI 2019 An Imitation Learning Approach to Unsupervised Parsing ACL 2019 An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media EMNLP 2019 An Investigation of Model-Free Planning ICML 2019 An LSTM Adaptation Study of (Un)grammaticality ACL 2019 Anomaly Detection Using Autoencoders in High Performance Computing Systems AAAI 2019 Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge ACL 2019 An Open-World Extension to Knowledge Graph Completion Models AAAI 2019 A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019 Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction ACL 2019 Answer Them All! Toward Universal Visual Question Answering Models CVPR 2019