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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)
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Papers (including subtopics)

Incentive-Compatible Classification AAAI 2020 Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020 Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) IJCAI 2020 Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods COLING 2020 Incorporating a Local Translation Mechanism into Non-autoregressive Translation EMNLP 2020 Incorporating Behavioral Hypotheses for Query Generation EMNLP 2020 Incorporating BERT into Parallel Sequence Decoding with Adapters NeurIPS 2020 Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection COLING 2020 Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL 2020 Incorporating Failure Events in Agents’ Decision Making to Improve User Satisfaction IJCAI 2020 Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction EMNLP 2020 Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text ACL 2020 Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency Interspeech 2020 Incremental Event Detection via Knowledge Consolidation Networks EMNLP 2020 Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations AAAI 2020 Incremental Few-Shot Object Detection CVPR 2020 Incremental Learning in Online Scenario CVPR 2020 Incremental Machine Speech Chain Towards Enabling Listening While Speaking in Real-Time Interspeech 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020 Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020 Inducing Hierarchical Compositional Model by Sparsifying Generator Network CVPR 2020 Induction of Subgoal Automata for Reinforcement Learning AAAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Inference for Batched Bandits NeurIPS 2020 Inference-only sub-character decomposition improves translation of unseen logographic characters AACL 2020