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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020 Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments EMNLP 2020 Certifiably Adversarially Robust Detection of Out-of-Distribution Data NeurIPS 2020 Certified Defenses for Adversarial Patches ICLR 2020 Certified Monotonic Neural Networks NeurIPS 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020 CGD: Multi-View Clustering via Cross-View Graph Diffusion AAAI 2020 Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations AAAI 2020 Challenges in Neural Language Identification: NRC at VarDial 2020 COLING 2020 Change Point Estimation in a Dynamic Stochastic Block Model JMLR 2020 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NeurIPS 2020 Characterizing emergent representations in a space of candidate learning rules for deep networks NeurIPS 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020 Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels AACL 2020 Chinese Grammatical Error Diagnosis with Graph Convolution Network and Multi-task Learning AACL 2020 Chinese Grammatical Errors Diagnosis System Based on BERT at NLPTEA-2020 CGED Shared Task AACL 2020 ChiSquareX at TextGraphs 2020 Shared Task: Leveraging Pretrained Language Models for Explanation Regeneration COLING 2020 Choice Bandits NeurIPS 2020 Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020 ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization EMNLP 2020 ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution WACV 2020 CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality ACL 2020