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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)

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning CVPR 2021 Relative Uncertainty Learning for Facial Expression Recognition NeurIPS 2021 Relative Variational Intrinsic Control AAAI 2021 Relaxed Core Stability in Fractional Hedonic Games IJCAI 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions NeurIPS 2021 Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic Research Interspeech 2021 Reliably Fast Adversarial Training via Latent Adversarial Perturbation ICCV 2021 Relighting Images in the Wild With a Self-Supervised Siamese Auto-Encoder WACV 2021 ReLU Regression with Massart Noise NeurIPS 2021 REM: Efficient Semi-Automated Real-Time Moderation of Online Forums ACL 2021 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting ICLR 2021 Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) AAAI 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision NeurIPS 2021 ReMix: Towards Image-to-Image Translation With Limited Data CVPR 2021 Removing Adversarial Noise in Class Activation Feature Space ICCV 2021 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NeurIPS 2021 Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning CVPR 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data ICLR 2021 Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning EACL 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 Representational aspects of depth and conditioning in normalizing flows ICML 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021