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

G3AN: Disentangling Appearance and Motion for Video Generation CVPR 2020 Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features CVPR 2020 GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data CVPR 2020 Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020 GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering AAAI 2020 GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples ACL 2020 GAN Compression: Efficient Architectures for Interactive Conditional GANs CVPR 2020 GAN Memory with No Forgetting NeurIPS 2020 GaSPing for Utility AAAI 2020 Gated Multi-Head Attention Pooling for Weakly Labelled Audio Tagging Interspeech 2020 GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification ICLR 2020 Gaussian Gated Linear Networks NeurIPS 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus Interspeech 2020 Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020 GenDICE: Generalized Offline Estimation of Stationary Values ICLR 2020 General Control Functions for Causal Effect Estimation from IVs NeurIPS 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning AAAI 2020 Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020 Generalization to New Actions in Reinforcement Learning ICML 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Generalized Hidden Parameter MDPs:Transferable Model-Based RL in a Handful of Trials AAAI 2020 Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NeurIPS 2020 Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020