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

Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Gaming Helps! Learning from Strategic Interactions in Natural Dynamics AISTATS 2021 GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images ICLR 2021 GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds ICCV 2021 GANDALF: a General Character Name Description Dataset for Long Fiction EMNLP 2021 GAN Ensemble for Anomaly Detection AAAI 2021 GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021 GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021 GANs Can Play Lottery Tickets Too ICLR 2021 GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis Interspeech 2021 GANs Unplugged AAAI 2021 GAN Vocoder: Multi-Resolution Discriminator Is All You Need Interspeech 2021 Gated Linear Networks AAAI 2021 Gathering Information and Engaging the User ComBot: A Task-Based, Serendipitous Dialog Model for Patient-Doctor Interactions NAACL 2021 GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction CVPR 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021 GBHT: Gradient Boosting Histogram Transform for Density Estimation ICML 2021 GCDF1: A Goal- and Context- Driven F-Score for Evaluating User Models EMNLP 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection EMNLP 2021 Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network CoNLL 2021 Generalising without Forgetting for Lifelong Person Re-Identification AAAI 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021