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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Binaural Reverberant Speech Separation Based on Deep Neural Networks Interspeech 2017 Binge Watching: Scaling Affordance Learning From Sitcoms CVPR 2017 Boltzmann Exploration Done Right NeurIPS 2017 Boosted Fitted Q-Iteration ICML 2017 Boosted Zero-Shot Learning with Semantic Correlation Regularization IJCAI 2017 Boosting Neural Machine Translation IJCNLP 2017 Bootstrapping for Numerical Open IE ACL 2017 Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars EMNLP 2017 Bootstrapping Unsupervised Bilingual Lexicon Induction EACL 2017 Bottleneck Conditional Density Estimation ICML 2017 Bounding the Inefficiency of Compromise IJCAI 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Bridging the Gap Between Value and Policy Based Reinforcement Learning NeurIPS 2017 Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps EMNLP 2017 Broad Context Language Modeling as Reading Comprehension EACL 2017 Canopy Fast Sampling with Cover Trees ICML 2017 Captioning Images With Diverse Objects CVPR 2017 Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network EMNLP 2017 CARLA: An Open Urban Driving Simulator CoRL 2017 Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization EMNLP 2017 Cascade Dynamics Modeling with Attention-based Recurrent Neural Network IJCAI 2017 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Certified Defenses for Data Poisoning Attacks NeurIPS 2017 Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks EACL 2017 Character-Aware Neural Morphological Disambiguation ACL 2017