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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)

Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019 Leveraging Web Semantic Knowledge in Word Representation Learning AAAI 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019 Light Field Messaging With Deep Photographic Steganography CVPR 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NeurIPS 2019 Like a Baby: Visually Situated Neural Language Acquisition ACL 2019 Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs EMNLP 2019 Lipper: Synthesizing Thy Speech Using Multi-View Lipreading AAAI 2019 LIUM-MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task ACL 2019 LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs ACL 2019 Local Detection of Stereo Occlusion Boundaries CVPR 2019 Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection CVPR 2019 Local SGD Converges Fast and Communicates Little ICLR 2019 Local Temporal Bilinear Pooling for Fine-Grained Action Parsing CVPR 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 Location-Based End-to-End Speech Recognition with Multiple Language Models AAAI 2019 Long-Distance Dependencies Don’t Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations ACL 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Long-Term Feature Banks for Detailed Video Understanding CVPR 2019 Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019 EMNLP 2019 Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution ACL 2019 Look Harder: A Neural Machine Translation Model with Hard Attention ACL 2019 Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition CVPR 2019 Look-up and Adapt: A One-shot Semantic Parser EMNLP 2019