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)

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020 Generative Adversarial Training Data Adaptation for Very Low-Resource Automatic Speech Recognition Interspeech 2020 Generative adversarial training of product of policies for robust and adaptive movement primitives CoRL 2020 Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020 Generative Continual Concept Learning AAAI 2020 Generative-Discriminative Complementary Learning AAAI 2020 Generative-Discriminative Feature Representations for Open-Set Recognition CVPR 2020 Generative Exploration and Exploitation AAAI 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020 Generative Pretraining From Pixels ICML 2020 Generative Pseudo-label Refinement for Unsupervised Domain Adaptation WACV 2020 GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020 GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ICLR 2020 Geometric Exploration for Online Control NeurIPS 2020 Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation AAAI 2020 Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks AAAI 2020 GEV Beamforming Supported by DOA-Based Masks Generated on Pairs of Microphones Interspeech 2020 Gifting in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2020 Global Bootstrapping Neural Network for Entity Set Expansion EMNLP 2020 Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NeurIPS 2020 Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020 Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition CVPR 2020