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)

Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning IJCAI 2017 Exploiting Morphological Regularities in Distributional Word Representations EMNLP 2017 Exploiting Saliency for Object Segmentation From Image Level Labels CVPR 2017 Exploiting Untranscribed Broadcast Data for Improved Code-Switching Detection Interspeech 2017 Exploration-Exploitation in MDPs with Options AISTATS 2017 Exploring Different Dimensions of Attention for Uncertainty Detection EACL 2017 Exploring Generalization in Deep Learning NeurIPS 2017 Exploring Vector Spaces for Semantic Relations EMNLP 2017 Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CoRL 2017 Extracting Visual Knowledge from the Web with Multimodal Learning IJCAI 2017 Extraction of Gene-Environment Interaction from the Biomedical Literature IJCNLP 2017 Extractive Summarization Using Multi-Task Learning with Document Classification EMNLP 2017 ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events NeurIPS 2017 Fairness in Reinforcement Learning ICML 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017 Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features CVPR 2017 Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NeurIPS 2017 Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017 Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection CoRL 2017 Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017 Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language SemEval 2017 Few-Shot Adversarial Domain Adaptation NeurIPS 2017 Few-Shot Learning Through an Information Retrieval Lens NeurIPS 2017 Few-Shot Object Recognition From Machine-Labeled Web Images CVPR 2017 Filling the Blanks (hint: plural noun) for Mad Libs Humor EMNLP 2017