Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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

Papers (including subtopics)

Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction AAAI 2021 Aggregating and Learning from Multiple Annotators EACL 2021 A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021 Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 AGORA: Avatars in Geography Optimized for Regression Analysis CVPR 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding ACL 2021 A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training AAAI 2021 Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021 Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 A Hierarchical Approach to Multi-Event Survival Analysis AAAI 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021 A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection ICCV 2021 A Highly-Parameterized Ensemble to Play Gin Rummy AAAI 2021 A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text IJCAI 2021 A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues ACL 2021 A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization AAAI 2021 A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021 A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature EMNLP 2021 AI-Assisted Scientific Data Collection with Iterative Human Feedback AAAI 2021