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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)

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 Combinatorial Group Testing with Selfish Agents NeurIPS 2023 Combinatorial Neural Bandits ICML 2023 Combinatorial Pure Exploration of Causal Bandits ICLR 2023 Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets ACL 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models EMNLP 2023 Combining Multilingual Resources and Models to Develop State-of-the-Art E2E ASR for Swedish Interspeech 2023 Combining Parameter-efficient Modules for Task-level Generalisation EACL 2023 Combo of Thinking and Observing for Outside-Knowledge VQA ACL 2023 CoMFormer: Continual Learning in Semantic and Panoptic Segmentation CVPR 2023 Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023 Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering ACL 2023 Commonsense Knowledge Transfer for Pre-trained Language Models ACL 2023 Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023 Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples ICCV 2023 Comparative evaluation of boundary-relaxed annotation for Entity Linking performance ACL 2023 Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification EMNLP 2023 Comparing Self-Supervised Pre-Training and Semi-Supervised Training for Speech Recognition in Languages with Weak Language Models Interspeech 2023 Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages Interspeech 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023 Competition, Alignment, and Equilibria in Digital Marketplaces AAAI 2023 Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction AAAI 2023 Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift NeurIPS 2023