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)

Learning Semantic Textual Similarity from Conversations ACL 2018 Learning Sentiment Memories for Sentiment Modification without Parallel Data EMNLP 2018 Learning Simplifications for Specific Target Audiences ACL 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Learning Structure and Strength of CNN Filters for Small Sample Size Training CVPR 2018 Learning Structured Dictionaries for Exemplar-based Voice Conversion Interspeech 2018 Learning Task Specifications from Demonstrations NeurIPS 2018 Learning the Reward Function for a Misspecified Model ICML 2018 Learning to Actively Learn Neural Machine Translation CoNLL 2018 Learning to Automatically Generate Fill-In-The-Blank Quizzes ACL 2018 Learning to cluster in order to transfer across domains and tasks ICLR 2018 Learning to Collaborate for Question Answering and Asking NAACL 2018 Learning to Converse with Noisy Data: Generation with Calibration IJCAI 2018 Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems ICML 2018 Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018 Learning to Infer Final Plans in Human Team Planning IJCAI 2018 Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018 Learning to Localize Sound Source in Visual Scenes CVPR 2018 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 Learning to Multi-Task by Active Sampling ICLR 2018 Learning to Promote Saliency Detectors CVPR 2018 Learning to Recognize Transient Sound Events using Attentional Supervision IJCAI 2018 Learning to Repair Software Vulnerabilities with Generative Adversarial Networks NeurIPS 2018 Learning to Round for Discrete Labeling Problems AISTATS 2018 Learning to Segment Every Thing CVPR 2018