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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)

Game Theoretic Analysis of Security and Sustainability IJCAI 2017 Gate Activation Signal Analysis for Gated Recurrent Neural Networks and its Correlation with Phoneme Boundaries Interspeech 2017 Gaze Embeddings for Zero-Shot Image Classification CVPR 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer IJCAI 2017 Generalization and Equilibrium in Generative Adversarial Nets (GANs) ICML 2017 Generalizing GANs: A Turing Perspective NeurIPS 2017 Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution ACL 2017 Generating steganographic images via adversarial training NeurIPS 2017 Generating Stylistically Consistent Dialog Responses with Transfer Learning IJCNLP 2017 Generating the Future With Adversarial Transformers CVPR 2017 Generative Adversarial Network-Based Postfilter for STFT Spectrograms Interspeech 2017 Generative Attribute Controller With Conditional Filtered Generative Adversarial Networks CVPR 2017 Generative Face Completion CVPR 2017 GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NeurIPS 2017 Good Semi-supervised Learning That Requires a Bad GAN NeurIPS 2017 GP CaKe: Effective brain connectivity with causal kernels NeurIPS 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 Gradient descent GAN optimization is locally stable NeurIPS 2017 Gradient Episodic Memory for Continual Learning NeurIPS 2017 Gradient-free Policy Architecture Search and Adaptation CoRL 2017 Grammatical Error Correction with Neural Reinforcement Learning IJCNLP 2017 Grounding Language by Continuous Observation of Instruction Following EACL 2017 Grounding of Human Environments and Activities for Autonomous Robots IJCAI 2017 GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue CVPR 2017 Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors ACL 2017