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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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20
220
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4,652
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2000
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Papers (including subtopics)

Zero Shot Intent Classification Using Long-Short Term Memory Networks Interspeech 2019 Zero-shot Knowledge Transfer via Adversarial Belief Matching NeurIPS 2019 Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference AAAI 2019 Zero-shot Learning via Simultaneous Generating and Learning NeurIPS 2019 Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks IJCAI 2019 Zero-shot Metric Learning IJCAI 2019 Zero-Shot Neural Transfer for Cross-Lingual Entity Linking AAAI 2019 Zero-Shot Object Detection with Textual Descriptions AAAI 2019 Zero-Shot Semantic Parsing for Instructions ACL 2019 Zero-Shot Semantic Segmentation NeurIPS 2019 Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks ICCV 2019 Zero-shot Word Sense Disambiguation using Sense Definition Embeddings ACL 2019 Zeyad at SemEval-2019 Task 6: That’s Offensive! An All-Out Search For An Ensemble To Identify And Categorize Offense in Tweets. SemEval 2019 Zoho at SemEval-2019 Task 9: Semi-supervised Domain Adaptation using Tri-training for Suggestion Mining SemEval 2019 360° Stance Detection NAACL 2018 3D Human Pose Estimation in the Wild by Adversarial Learning CVPR 2018 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018 Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents COLING 2018 Ab Initio: Automatic Latin Proto-word Reconstruction COLING 2018 A Boo(n) for Evaluating Architecture Performance ICML 2018 Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion COLING 2018 A Call for Clarity in Reporting BLEU Scores EMNLP 2018 A Case Study on Learning a Unified Encoder of Relations EMNLP 2018