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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)

Abstraction not Memory: BERT and the English Article System NAACL 2022 Abstractive Summarization of Dutch Court Verdicts Using Sequence-to-sequence Models EMNLP 2022 Abstract Visual Reasoning with Tangram Shapes EMNLP 2022 Accelerated Policy Learning with Parallel Differentiable Simulation ICLR 2022 Accelerating Code Search with Deep Hashing and Code Classification ACL 2022 A Checkpoint on Multilingual Misogyny Identification ACL 2022 A Closer Look at How Fine-tuning Changes BERT ACL 2022 A Closer Look at Prototype Classifier for Few-shot Image Classification NeurIPS 2022 A Closer Look at Smoothness in Domain Adversarial Training ICML 2022 A Closer Look at the Adversarial Robustness of Deep Equilibrium Models NeurIPS 2022 ACL Tutorial Proposal: Towards Reproducible Machine Learning Research in Natural Language Processing ACL 2022 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NeurIPS 2022 A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition ACL 2022 A Comparison of Strategies for Source-Free Domain Adaptation ACL 2022 A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes CVPR 2022 A Computational Acquisition Model for Multimodal Word Categorization NAACL 2022 A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space ACL 2022 A Contrastive Framework for Neural Text Generation NeurIPS 2022 ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification CVPR 2022 Action-Aware Embedding Enhancement for Image-Text Retrieval AAAI 2022 Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation AAAI 2022 Active Example Selection for In-Context Learning EMNLP 2022 Active Labeling: Streaming Stochastic Gradients NeurIPS 2022 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 Active Learning Helps Pretrained Models Learn the Intended Task NeurIPS 2022