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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)

On exploration requirements for learning safety constraints L4DC 2021 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning ICLR 2021 On Feature Decorrelation in Self-Supervised Learning ICCV 2021 On Generalization in Coreference Resolution EMNLP 2021 On Generating Transferable Targeted Perturbations ICCV 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 On Joint Learning for Solving Placement and Routing in Chip Design NeurIPS 2021 On Learning Deep Models with Imbalanced Data Distribution AAAI 2021 On learning sparse vectors from mixture of responses NeurIPS 2021 On Learning the Geodesic Path for Incremental Learning CVPR 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Online Active Model Selection for Pre-trained Classifiers AISTATS 2021 Online Adversarial Purification based on Self-supervised Learning ICLR 2021 Online A-Optimal Design and Active Linear Regression ICML 2021 Online Boosting with Bandit Feedback ALT 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021 Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Online Facility Location with Multiple Advice NeurIPS 2021 Online Learning and Control of Complex Dynamical Systems from Sensory Input NeurIPS 2021 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021 Online Learning from Optimal Actions COLT 2021 Online Learning in Variable Feature Spaces under Incomplete Supervision AAAI 2021