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 Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Invariances in Neural Networks from Training Data NeurIPS 2020 Learning Invariant Representation for Unsupervised Image Restoration CVPR 2020 Learning Large Logic Programs By Going Beyond Entailment IJCAI 2020 Learning Latent Forests for Medical Relation Extraction IJCAI 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption AAAI 2020 Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment ACL 2020 Learning LWF Chain Graphs: A Markov Blanket Discovery Approach UAI 2020 Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation AAAI 2020 Learning Memory-Guided Normality for Anomaly Detection CVPR 2020 Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing AAAI 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Learning Multi-Agent Communication through Structured Attentive Reasoning NeurIPS 2020 Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments AAAI 2020 Learning Multimodal Representations for Unseen Activities WACV 2020 Learning Multi-Object Tracking and Segmentation From Automatic Annotations CVPR 2020 Learning Mutational Semantics NeurIPS 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020 Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020 Learning Negation Scope from Syntactic Structure COLING 2020 Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS) IJCAI 2020 Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views NeurIPS 2020 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020