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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)

On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations NAACL 2022 On the Limitations of Multimodal VAEs ICLR 2022 On the Limitations of Stochastic Pre-processing Defenses NeurIPS 2022 On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets ACL 2022 On the Machine Learning of Ethical Judgments from Natural Language NAACL 2022 On the Nature of BERT: Correlating Fine-Tuning and Linguistic Competence COLING 2022 On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL 2022 On the power of adaptivity in statistical adversaries COLT 2022 On the Practicality of Deterministic Epistemic Uncertainty ICML 2022 On the relation between statistical learning and perceptual distances ICLR 2022 On the Representation Collapse of Sparse Mixture of Experts NeurIPS 2022 On the Road to Online Adaptation for Semantic Image Segmentation CVPR 2022 On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses NeurIPS 2022 On the Robustness of Graph Neural Diffusion to Topology Perturbations NeurIPS 2022 On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022 On the Robustness to Misspecification of α-posteriors and Their Variational Approximations JMLR 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 On the Role of Neural Collapse in Transfer Learning ICLR 2022 On the Sample Complexity of Stability Constrained Imitation Learning L4DC 2022 On the Statistical Benefits of Curriculum Learning ICML 2022 On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL NeurIPS 2022 On the Strong Correlation Between Model Invariance and Generalization NeurIPS 2022 On the Surrogate Gap between Contrastive and Supervised Losses ICML 2022 On the Tradeoff Between Robustness and Fairness NeurIPS 2022 On the Use of Bert for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation NAACL 2022