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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)

Monolingual Adapters for Zero-Shot Neural Machine Translation EMNLP 2020 More Grounded Image Captioning by Distilling Image-Text Matching Model CVPR 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Motion-Attentive Transition for Zero-Shot Video Object Segmentation AAAI 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps CVPR 2020 Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments CoRL 2020 MovieChats: Chat like Humans in a Closed Domain EMNLP 2020 Moving in the Right Direction: A Regularization for Deep Metric Learning CVPR 2020 MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning AAAI 2020 MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks CVPR 2020 MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020 MULE: Multimodal Universal Language Embedding AAAI 2020 Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation EMNLP 2020 Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Multi-Cell Compositional LSTM for NER Domain Adaptation ACL 2020 Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) AAAI 2020 MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale EMNLP 2020 Multi-Dimensional Gender Bias Classification EMNLP 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020 Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020 Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference ACL 2020 Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing ACL 2020