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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)

Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021 Expert advice problem with noisy low rank loss ACML 2021 Explainable Deep One-Class Classification ICLR 2021 Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification ACL 2021 Explainable Quality Estimation: CUNI Eval4NLP Submission EMNLP 2021 ExplainaBoard: An Explainable Leaderboard for NLP ACL 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021 Explaining fast improvement in online imitation learning UAI 2021 Explaining Self-Supervised Image Representations with Visual Probing IJCAI 2021 Explaining Time Series Predictions with Dynamic Masks ICML 2021 Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability AAAI 2021 Explanations for Monotonic Classifiers. ICML 2021 Explanations for Occluded Images ICCV 2021 Explicable Reward Design for Reinforcement Learning Agents NeurIPS 2021 Explicit pairwise factorized graph neural network for semi-supervised node classification UAI 2021 Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation AAAI 2021 Exploiting a Zoo of Checkpoints for Unseen Tasks NeurIPS 2021 Exploiting Behavioral Consistence for Universal User Representation AAAI 2021 Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference EACL 2021 Exploiting Curriculum Learning in Unsupervised Neural Machine Translation EMNLP 2021 Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation AAAI 2021 Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study ACL 2021 Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes ICCV 2021 Exploiting Opponents Under Utility Constraints in Sequential Games NeurIPS 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021