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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)

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations NeurIPS 2023 Establishing Trustworthiness: Rethinking Tasks and Model Evaluation EMNLP 2023 Estimating Average Causal Effects from Patient Trajectories AAAI 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023 Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks AAAI 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023 Estimating Large Language Model Capabilities without Labeled Test Data EMNLP 2023 Estimating Propensity for Causality-based Recommendation without Exposure Data NeurIPS 2023 Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples ACL 2023 Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023 Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs EMNLP 2023 Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language EMNLP 2023 Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023 Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces CVPR 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023 EVALIGN: Visual Evaluation of Translation Alignment Models EACL 2023 Evaluate AMR Graph Similarity via Self-supervised Learning ACL 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Evaluating and Improving Automatic Speech Recognition using Severity ACL 2023 Evaluating and Improving Interactions with Hazy Oracles AAAI 2023