Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Active Classification with Few Queries under Misspecification NeurIPS 2024 ActiveDC: Distribution Calibration for Active Finetuning CVPR 2024 Active Deep Multi-view Clustering IJCAI 2024 Active Domain Adaptation with False Negative Prediction for Object Detection CVPR 2024 Active Generalized Category Discovery CVPR 2024 Active Learning Design Choices for NER with Transformers COLING 2024 Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization EMNLP 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios EMNLP 2024 Active Learning for Single-Stage Object Detection in UAV Images WACV 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Active Learning of General Halfspaces: Label Queries vs Membership Queries NeurIPS 2024 Active learning of neural population dynamics using two-photon holographic optogenetics NeurIPS 2024 Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios NeurIPS 2024 Active Learning with Simple Questions COLT 2024 Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery NAACL 2024 Active Object Detection with Knowledge Aggregation and Distillation from Large Models CVPR 2024 Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations CVPR 2024 Active Perception for Grasp Detection via Neural Graspness Field NeurIPS 2024 Active preference learning for ordering items in- and out-of-sample NeurIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 Active Prompt Learning in Vision Language Models CVPR 2024 Active Reinforcement Learning for Robust Building Control AAAI 2024 Active Retrosynthetic Planning Aware of Route Quality ICLR 2024