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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)

Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? EMNLP 2020 Latent World Models For Intrinsically Motivated Exploration NeurIPS 2020 LatRec: Recognizing Goals in Latent Space (Student Abstract) AAAI 2020 Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations EMNLP 2020 Layer-Wise Multi-View Learning for Neural Machine Translation COLING 2020 “LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently CoNLL 2020 LdSM: Logarithm-depth Streaming Multi-label Decision Trees AISTATS 2020 LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020 Learnability with Indirect Supervision Signals NeurIPS 2020 Learning About Objects by Learning to Interact with Them NeurIPS 2020 Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap RSS 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning a Decision Module by Imitating Driver’s Control Behaviors CoRL 2020 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020 Learning a Dynamic Map of Visual Appearance CVPR 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Agent Representations for Ice Hockey NeurIPS 2020 Learning Agile Robotic Locomotion Skills by Imitating Animals RSS 2020 Learning and Evaluating Emotion Lexicons for 91 Languages ACL 2020 Learning and Interpreting Multi-Multi-Instance Learning Networks JMLR 2020 Learning and Solving Regular Decision Processes IJCAI 2020 Learning an Unreferenced Metric for Online Dialogue Evaluation ACL 2020 Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience CoRL 2020 Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks EMNLP 2020