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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)

Contrastive Learning of Sentence Embeddings from Scratch EMNLP 2023 Contrastive Learning of Sociopragmatic Meaning in Social Media ACL 2023 Contrastive Learning Reduces Hallucination in Conversations AAAI 2023 Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study ICCV 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Contrastive Learning with Keyword-based Data Augmentation for Code Search and Code Question Answering EACL 2023 Contrastive Learning with the Feature Reconstruction Amplifier AAAI 2023 Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion NeurIPS 2023 Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization WACV 2023 Contrastive Loss is All You Need to Recover Analogies as Parallel Lines ACL 2023 Contrastive Masked Autoencoders for Self-Supervised Video Hashing AAAI 2023 Contrastive Mean Teacher for Domain Adaptive Object Detectors CVPR 2023 Contrastive Meta-Learning for Partially Observable Few-Shot Learning ICLR 2023 Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation ICCV 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time NeurIPS 2023 Contrastive Multi-Task Dense Prediction AAAI 2023 Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023 Contrastive Open Set Recognition AAAI 2023 Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning AAAI 2023 Contrastive Pre-training for Personalized Expert Finding EMNLP 2023 Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023 Contrastive Pseudo Learning for Open-World DeepFake Attribution ICCV 2023 Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL NeurIPS 2023