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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

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220
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2000
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Papers (including subtopics)

Guiding Neural Machine Translation with Retrieved Translation Pieces NAACL 2018 Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning CVPR 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning NeurIPS 2018 Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation EMNLP 2018 Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora ACL 2018 Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NeurIPS 2018 Heuristically Informed Unsupervised Idiom Usage Recognition EMNLP 2018 HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets EMNLP 2018 Hierarchical Active Learning with Group Proportion Feedback IJCAI 2018 Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning ICLR 2018 Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain EMNLP 2018 Hierarchical Imitation and Reinforcement Learning ICML 2018 Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ACL 2018 Hierarchical Novelty Detection for Visual Object Recognition CVPR 2018 Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NeurIPS 2018 Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018 Hierarchical Subtask Discovery with Non-Negative Matrix Factorization ICLR 2018 Hierarchical Text Generation and Planning for Strategic Dialogue ICML 2018 High-Fidelity Simulated Players for Interactive Narrative Planning IJCAI 2018 HL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation COLING 2018 Horizon-Independent Minimax Linear Regression NeurIPS 2018 HotFlip: White-Box Adversarial Examples for Text Classification ACL 2018 HOUDINI: Lifelong Learning as Program Synthesis NeurIPS 2018 How agents see things: On visual representations in an emergent language game EMNLP 2018 How Deep Are Deep Gaussian Processes? JMLR 2018