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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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2000
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Papers (including subtopics)

Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills ACL 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language WACV 2020 Caption Alignment for Low Resource Audio-Visual Data Interspeech 2020 CapWAP: Image Captioning with a Purpose EMNLP 2020 CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020 CASE: Context-Aware Semantic Expansion AAAI 2020 CASIE: Extracting Cybersecurity Event Information from Text AAAI 2020 CASTER: Predicting Drug Interactions with Chemical Substructure Representation AAAI 2020 Casting Geometric Constraints in Semantic Segmentation as Semi-Supervised Learning WACV 2020 Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020 CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation AAAI 2020 CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020 Causal Bayesian Optimization AISTATS 2020 Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020 Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning NeurIPS 2020 Causal Estimation with Functional Confounders NeurIPS 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Causal Inference of Script Knowledge EMNLP 2020 Causal Intervention for Weakly-Supervised Semantic Segmentation NeurIPS 2020 Causally Denoise Word Embeddings Using Half-Sibling Regression AAAI 2020 Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method AISTATS 2020 Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift AAAI 2020 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network IJCAI 2020 CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020