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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)

Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning CVPR 2021 On a Competitive Secretary Problem with Deferred Selections IJCAI 2021 On Belief Change for Multi-Label Classifier Encodings IJCAI 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NeurIPS 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 On Compositions of Transformations in Contrastive Self-Supervised Learning ICCV 2021 On Contrastive Representations of Stochastic Processes NeurIPS 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On Data-Augmentation and Consistency-Based Semi-Supervised Learning ICLR 2021 On Data Efficiency of Meta-learning AISTATS 2021 On Disentangled Representations Learned from Correlated Data ICML 2021 One-class Text Classification with Multi-modal Deep Support Vector Data Description EACL 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NeurIPS 2021 One-Pass Multi-View Clustering for Large-Scale Data ICCV 2021 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks AISTATS 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets ACL 2021 One-shot Face Reenactment Using Appearance Adaptive Normalization AAAI 2021 One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 One-Shot Voice Conversion with Speaker-Agnostic StarGAN Interspeech 2021 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021 One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation CVPR 2021