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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)

Active Learning of Convex Halfspaces on Graphs NeurIPS 2021 Active Learning under Label Shift AISTATS 2021 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NeurIPS 2021 Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021 Active multi-fidelity Bayesian online changepoint detection UAI 2021 Active Offline Policy Selection NeurIPS 2021 Active Online Learning with Hidden Shifting Domains AISTATS 2021 Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion Interspeech 2021 Active Testing: Sample-Efficient Model Evaluation ICML 2021 Active Universal Domain Adaptation ICCV 2021 Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization CVPR 2021 Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery ICCV 2021 Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task EMNLP 2021 Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition Interspeech 2021 Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks NAACL 2021 Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ACL 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections EMNLP 2021 Adapting Neural Machine Translation for Automatic Post-Editing EMNLP 2021 Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing ACL 2021 Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation WACV 2021 Adaptive Adversarial Network for Source-Free Domain Adaptation ICCV 2021 Adaptive Aggregation Networks for Class-Incremental Learning CVPR 2021 Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback AAAI 2021 Adaptive and Generative Zero-Shot Learning ICLR 2021