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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)

Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters Interspeech 2023 Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs ACL 2023 Concept Algebra for (Score-Based) Text-Controlled Generative Models NeurIPS 2023 Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue EACL 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction ICML 2023 Concurrent Multi-Label Prediction in Event Streams AAAI 2023 ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NeurIPS 2023 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Conditional Graph Information Bottleneck for Molecular Relational Learning ICML 2023 Conditional Score Guidance for Text-Driven Image-to-Image Translation NeurIPS 2023 Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models ICML 2023 Coneheads: Hierarchy Aware Attention NeurIPS 2023 ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis ACL 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features ICLR 2023 Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery IJCAI 2023 ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis ACL 2023 Connecting Multi-modal Contrastive Representations NeurIPS 2023 Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries CVPR 2023 Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks? EMNLP 2023 Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation ACL 2023 ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023 ConQueR: Query Contrast Voxel-DETR for 3D Object Detection CVPR 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Consistency is Key: On Data-Efficient Modality Transfer in Speech Translation EMNLP 2023