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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
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'25

Papers (including subtopics)

AFS: An Attention-Based Mechanism for Supervised Feature Selection AAAI 2019 A General and Adaptive Robust Loss Function CVPR 2019 A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility AAAI 2019 A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019 Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching EMNLP 2019 Aggregation Cross-Entropy for Sequence Recognition CVPR 2019 A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019 A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks AAAI 2019 A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ACL 2019 AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019 A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy ACL 2019 A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations CVPR 2019 A Label Informative Wide & Deep Classifier for Patents and Papers EMNLP 2019 A Layer-Based Sequential Framework for Scene Generation with GANs AAAI 2019 Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019 Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task EMNLP 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation CVPR 2019 All-Weather Deep Outdoor Lighting Estimation CVPR 2019 (Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus ACL 2019 Almost Unsupervised Learning for Dense Crowd Counting AAAI 2019 A logical-based corpus for cross-lingual evaluation EMNLP 2019 Amalgamating Knowledge towards Comprehensive Classification AAAI 2019 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 A Meta-Learning Approach for Custom Model Training AAAI 2019