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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)

Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023 Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker ACL 2023 Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023 Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NeurIPS 2023 Discriminative Class Tokens for Text-to-Image Diffusion Models ICCV 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction ACL 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models NeurIPS 2023 Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning NeurIPS 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023 Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023 Disentangled Multiplex Graph Representation Learning ICML 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Disentangled Representation Learning for Multilingual Speaker Recognition Interspeech 2023 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NeurIPS 2023 Disentanglement of Correlated Factors via Hausdorff Factorized Support ICLR 2023 Disentanglement of Latent Representations via Causal Interventions IJCAI 2023 Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions ACL 2023 Disentangling Reafferent Effects by Doing Nothing AAAI 2023 Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning ICCV 2023 Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization ACL 2023 Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract) AAAI 2023 Disentangling Writer and Character Styles for Handwriting Generation CVPR 2023