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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)

Emergent Communication in Interactive Sketch Question Answering NeurIPS 2023 Emergent Quantized Communication AAAI 2023 Emotional Talking Head Generation based on Memory-Sharing and Attention-Augmented Networks Interspeech 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Empowering Conversational Agents using Semantic In-Context Learning ACL 2023 EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity ICCV 2023 Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations EMNLP 2023 Encoder-decoder Multimodal Speaker Change Detection Interspeech 2023 Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NeurIPS 2023 Endpoints Weight Fusion for Class Incremental Semantic Segmentation CVPR 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 End-to-End Argument Mining over Varying Rhetorical Structures ACL 2023 End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems EMNLP 2023 End-to-end Knowledge Retrieval with Multi-modal Queries ACL 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023 End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation AAAI 2023 Energy Transformer NeurIPS 2023 Enhanced Multimodal Representation Learning With Cross-Modal KD CVPR 2023 Enhanced Simultaneous Machine Translation with Word-level Policies EMNLP 2023 Enhancing Abstractiveness of Summarization Models through Calibrated Distillation EMNLP 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language ICML 2023 Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting EMNLP 2023 Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training ACML 2023 Enhancing Cross-lingual Prompting with Dual Prompt Augmentation ACL 2023