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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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Papers (including subtopics)

Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NeurIPS 2021 Contrast and Order Representations for Video Self-Supervised Learning ICCV 2021 Contrasting Contrastive Self-Supervised Representation Learning Pipelines ICCV 2021 Contrasting distinct structured views to learn sentence embeddings EACL 2021 Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification EMNLP 2021 Contrastive Active Inference NeurIPS 2021 Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition AAAI 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Attention Maps for Self-Supervised Co-Localization ICCV 2021 Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning ICLR 2021 Contrastive Clustering AAAI 2021 Contrastive Code Representation Learning EMNLP 2021 Contrastive Coding for Active Learning Under Class Distribution Mismatch ICCV 2021 Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias EMNLP 2021 Contrastive Divergence Learning is a Time Reversal Adversarial Game ICLR 2021 Contrastive Document Representation Learning with Graph Attention Networks EMNLP 2021 Contrastive Domain Adaptation for Question Answering using Limited Text Corpora EMNLP 2021 Contrastive Embedding for Generalized Zero-Shot Learning CVPR 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Contrastive Explanations for Model Interpretability EMNLP 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Contrastive Laplacian Eigenmaps NeurIPS 2021 Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021 Contrastive Learning for Compact Single Image Dehazing CVPR 2021 Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information EMNLP 2021