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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)

COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation ICCV 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation AAAI 2023 Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023 Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions AAAI 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 Cooperative Open-ended Learning Framework for Zero-Shot Coordination ICML 2023 Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation WACV 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023 Coordinated Replay Sample Selection for Continual Federated Learning EMNLP 2023 CoP: Factual Inconsistency Detection by Controlling the Preference AAAI 2023 CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching CVPR 2023 Core Challenges in Embodied Vision-Language Planning (Extended Abstract) IJCAI 2023 CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection ACL 2023 Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning CVPR 2023 Corpus-Based Task-Specific Relation Discovery ACL 2023 Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models AAAI 2023 Correcting for selection bias and missing response in regression using privileged information UAI 2023 Correction of Errors in Preference Ratings from Automated Metrics for Text Generation ACL 2023 Correlational Image Modeling for Self-Supervised Visual Pre-Training CVPR 2023 Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation ICLR 2023 Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation NeurIPS 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 CoRTX: Contrastive Framework for Real-time Explanation ICLR 2023