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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
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'25

Papers (including subtopics)

Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval EMNLP 2018 NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification EMNLP 2018 Nugget Proposal Networks for Chinese Event Detection ACL 2018 Object-Oriented Dynamics Predictor NeurIPS 2018 Object-oriented Neural Programming (OONP) for Document Understanding ACL 2018 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018 One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning IJCAI 2018 One-Shot Action Localization by Learning Sequence Matching Network CVPR 2018 One-Shot Relational Learning for Knowledge Graphs EMNLP 2018 One-Shot Unsupervised Cross Domain Translation NeurIPS 2018 On GANs and GMMs NeurIPS 2018 On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data ACL 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries NeurIPS 2018 On the Automatic Generation of Medical Imaging Reports ACL 2018 On the Impact of Various Types of Noise on Neural Machine Translation ACL 2018 On the Importance of Label Quality for Semantic Segmentation CVPR 2018 On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling EMNLP 2018 On the Robustness of Semantic Segmentation Models to Adversarial Attacks CVPR 2018 On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis EMNLP 2018 On the Strength of Character Language Models for Multilingual Named Entity Recognition EMNLP 2018 On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018 On Tree-Based Neural Sentence Modeling EMNLP 2018 On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach IJCAI 2018