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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)

A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit NeurIPS 2019 A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning ACL 2019 A Simple Baseline for Audio-Visual Scene-Aware Dialog CVPR 2019 A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation ACL 2019 Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree EMNLP 2019 Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network ACL 2019 Assessing Arabic Weblog Credibility via Deep Co-learning ACL 2019 Assessment of Faster R-CNN in Man-Machine Collaborative Search CVPR 2019 A Storyteller’s Tale: Literature Audiobooks Genre Classification Using CNN and RNN Architectures Interspeech 2019 A Strong and Robust Baseline for Text-Image Matching ACL 2019 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019 A Surprisingly Robust Trick for the Winograd Schema Challenge ACL 2019 A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling EMNLP 2019 A Systematic Comparison of English Noun Compound Representations ACL 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning CVPR 2019 Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning CVPR 2019 ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning AAAI 2019 Attending to Discriminative Certainty for Domain Adaptation CVPR 2019 Attending to Future Tokens for Bidirectional Sequence Generation EMNLP 2019 Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition AAAI 2019 Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions CVPR 2019 Attention-based Conditioning Methods for External Knowledge Integration ACL 2019 Attention-Based Dropout Layer for Weakly Supervised Object Localization CVPR 2019 Attention Based Hybrid i-Vector BLSTM Model for Language Recognition Interspeech 2019