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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Private Set Generation with Discriminative Information NeurIPS 2022 Private Streaming SCO in ℓ_p geometry with Applications in High Dimensional Online Decision Making ICML 2022 Probabilistically Robust Learning: Balancing Average and Worst-case Performance ICML 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 Probabilistic Representations for Video Contrastive Learning CVPR 2022 Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences CVPR 2022 Probing BERT’s priors with serial reproduction chains ACL 2022 Probing Factually Grounded Content Transfer with Factual Ablation ACL 2022 Probing Multilingual Cognate Prediction Models ACL 2022 Probing phoneme, language and speaker information in unsupervised speech representations Interspeech 2022 Probing Pretrained Models of Source Codes EMNLP 2022 Probing Representation Forgetting in Supervised and Unsupervised Continual Learning CVPR 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Probing Simile Knowledge from Pre-trained Language Models ACL 2022 Probing speech emotion recognition transformers for linguistic knowledge Interspeech 2022 Probing the Role of Positional Information in Vision-Language Models NAACL 2022 Probing via Prompting NAACL 2022 Procedural generalization by planning with self-supervised world models ICLR 2022 Procedural Image Programs for Representation Learning NeurIPS 2022 PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks EMNLP 2022 Product Titles-to-Attributes As a Text-to-Text Task ACL 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 Programmable Annotation with Diversed Heuristics and Data Denoising COLING 2022 Programmatic Reward Design by Example AAAI 2022 Program Transfer for Answering Complex Questions over Knowledge Bases ACL 2022