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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)

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies AAAI 2022 What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels ACL 2022 What do Large Language Models Learn beyond Language? EMNLP 2022 What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge ACL 2022 What GPT Knows About Who is Who ACL 2022 What Makes Better Augmentation Strategies? Augment Difficult but Not too Different ICLR 2022 What Makes Data-to-Text Generation Hard for Pretrained Language Models? EMNLP 2022 What Makes for Effective Few-Shot Point Cloud Classification? WACV 2022 What Makes Good In-Context Examples for GPT-3? ACL 2022 What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022 What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors CVPR 2022 What to Learn, and How: Toward Effective Learning from Rationales ACL 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture NeurIPS 2022 When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks EMNLP 2022 When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022 When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues ACL 2022 When does CLIP generalize better than unimodal models? When judging human-centric concepts ACL 2022 When Does Contrastive Visual Representation Learning Work? CVPR 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 When Language Model Meets Private Library EMNLP 2022 Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit EMNLP 2022 Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals ACL 2022 Which Images To Label for Few-Shot Medical Landmark Detection? CVPR 2022 Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022