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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)

Conditioning Sparse Variational Gaussian Processes for Online Decision-making NeurIPS 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Conflict-Averse Gradient Descent for Multi-task learning NeurIPS 2021 Confluent Vessel Trees With Accurate Bifurcations CVPR 2021 Conformal Bayesian Computation NeurIPS 2021 Conformal prediction interval for dynamic time-series ICML 2021 Conjugate Energy-Based Models ICML 2021 Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results ICML 2021 Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories EMNLP 2021 ConRPG: Paraphrase Generation using Contexts as Regularizer EMNLP 2021 ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer ACL 2021 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Consistency Regularization for Cross-Lingual Fine-Tuning ACL 2021 Consistency Regularization for Variational Auto-Encoders NeurIPS 2021 Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation AAAI 2021 Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces ICCV 2021 Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 Consistent Non-Parametric Methods for Maximizing Robustness NeurIPS 2021 Consistent regression when oblivious outliers overwhelm ICML 2021 Consistent Semi-Supervised Graph Regularization for High Dimensional Data JMLR 2021 Constrained labeling for weakly supervised learning UAI 2021 Constrained Multi-Task Learning for Event Coreference Resolution NAACL 2021 Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021