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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)

Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport EMNLP 2021 Learning Cross-Modal Contrastive Features for Video Domain Adaptation ICCV 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning Cross-Task Attribute - Attribute Similarity for Multi-task Attribute-Value Extraction ACL 2021 Learning Curves for Analysis of Deep Networks ICML 2021 Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021 Learning Data Augmentation Schedules for Natural Language Processing EMNLP 2021 Learning Deep Features in Instrumental Variable Regression ICLR 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning de-identified representations of prosody from raw audio ICML 2021 Learning disentangled representations via product manifold projection ICML 2021 Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021 Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ACL 2021 Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning CVPR 2021 Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021 Learning Facial Representations From the Cycle-Consistency of Face ICCV 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier WACV 2021 Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels CVPR 2021 Learning from Biased Data: A Semi-Parametric Approach ICML 2021 Learning from Censored and Dependent Data: The case of Linear Dynamics COLT 2021 Learning from Complementary Labels via Partial-Output Consistency Regularization IJCAI 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning from Demonstration with Weakly Supervised Disentanglement ICLR 2021 Learning from Executions for Semantic Parsing NAACL 2021