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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
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Papers (including subtopics)

Learning With Noisy Labels via Sparse Regularization ICCV 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning With Privileged Tasks ICCV 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 Learning with Selective Forgetting IJCAI 2021 Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification WACV 2021 Learn The Big Picture: Representation Learning for Clustering ACL 2021 Learn To Cluster Faces via Pairwise Classification ICCV 2021 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021 Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021 Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering ACL 2021 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Interspeech 2021 Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling CVPR 2021 Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder EMNLP 2021 `Less Than One'-Shot Learning: Learning N Classes From M < N Samples AAAI 2021 Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language EACL 2021 Let’s be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction ACL 2021 Levenshtein Training for Word-level Quality Estimation EMNLP 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021 Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation ICCV 2021 Leveraging English Word Embeddings for Semi-Automatic Semantic Classification in Nêhiyawêwin (Plains Cree) NAACL 2021 Leveraging Good Representations in Linear Contextual Bandits ICML 2021