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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)

Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023 Extrapolating Multilingual Understanding Models as Multilingual Generators EMNLP 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 Extrinsic Evaluation of Machine Translation Metrics ACL 2023 ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution EACL 2023 Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs EMNLP 2023 FAC: 3D Representation Learning via Foreground Aware Feature Contrast CVPR 2023 Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network NeurIPS 2023 Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction ICML 2023 Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach ACL 2023 Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023 Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems Interspeech 2023 Factorized Contrastive Learning: Going Beyond Multi-view Redundancy NeurIPS 2023 Factorized Fourier Neural Operators ICLR 2023 FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation EMNLP 2023 Factual and Informative Review Generation for Explainable Recommendation AAAI 2023 Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration AAAI 2023 Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation EMNLP 2023 Fair and Accurate Decision Making through Group-Aware Learning ICML 2023 Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023 FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery AISTATS 2023 Fair Generative Models via Transfer Learning AAAI 2023 Fairness and Welfare Quantification for Regret in Multi-Armed Bandits AAAI 2023 Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes ICLR 2023 Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments NeurIPS 2023