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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)

Low Resource Similar Language Neural Machine Translation for Tamil-Telugu EMNLP 2021 LQF: Linear Quadratic Fine-Tuning CVPR 2021 LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection AAAI 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training CVPR 2021 MAAS: Multi-Modal Assignation for Active Speaker Detection ICCV 2021 Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model ACL 2021 Machine versus Human Attention in Deep Reinforcement Learning Tasks NeurIPS 2021 MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer EMNLP 2021 MagFace: A Universal Representation for Face Recognition and Quality Assessment CVPR 2021 Magic Layouts: Structural Prior for Component Detection in User Interface Designs CVPR 2021 Making Pre-trained Language Models Better Few-shot Learners ACL 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching AAAI 2021 Manifold-Aware Deep Clustering: Maximizing Angles Between Embedding Vectors Based on Regular Simplex Interspeech 2021 Manipulating SGD with Data Ordering Attacks NeurIPS 2021 Many-to-English Machine Translation Tools, Data, and Pretrained Models ACL 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021 MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents NeurIPS 2021 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021 MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution CVPR 2021 Mask-Align: Self-Supervised Neural Word Alignment ACL 2021 Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification IJCAI 2021 Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis CVPR 2021 Masksembles for Uncertainty Estimation CVPR 2021 Mastering Atari Games with Limited Data NeurIPS 2021