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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)

Improving Named Entity Recognition via Bridge-based Domain Adaptation ACL 2023 Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting EMNLP 2023 Improving neural network representations using human similarity judgments NeurIPS 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023 Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank ACL 2023 Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition Interspeech 2023 Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers AAAI 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023 Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023 Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL 2023 Improving Seq2Seq Grammatical Error Correction via Decoding Interventions EMNLP 2023 Improving Sequential Model Editing with Fact Retrieval EMNLP 2023 Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023 Improving Speech Translation by Fusing Speech and Text EMNLP 2023 Improving Syntactic Probing Correctness and Robustness with Control Tasks ACL 2023 Improving Table Structure Recognition With Visual-Alignment Sequential Coordinate Modeling CVPR 2023 Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore ACL 2023 Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings EACL 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning EACL 2023 Improving Unsupervised Visual Program Inference with Code Rewriting Families ICCV 2023