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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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Papers (including subtopics)

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations ICML 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Character-Based Models for Adversarial Phone Extraction: Preventing Human Sex Trafficking EMNLP 2019 Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NeurIPS 2019 Characterizing and Avoiding Negative Transfer CVPR 2019 Characterizing Audio Adversarial Examples Using Temporal Dependency ICLR 2019 Characterizing Bias in Classifiers using Generative Models NeurIPS 2019 Char+CV-CTC: Combining Graphemes and Consonant/Vowel Units for CTC-Based ASR Using Multitask Learning Interspeech 2019 Charge-Based Prison Term Prediction with Deep Gating Network EMNLP 2019 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst RSS 2019 Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ACL 2019 CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising ICCV 2019 CITE: A Corpus of Image-Text Discourse Relations NAACL 2019 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 Classification from Positive, Unlabeled and Biased Negative Data ICML 2019 Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019 Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019 Classification with Label Distribution Learning IJCAI 2019 Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019 Classifying Treatment Responders Under Causal Effect Monotonicity ICML 2019 CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding EMNLP 2019 Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019 Closed-Loop Memory GAN for Continual Learning IJCAI 2019 Cluster Alignment With a Teacher for Unsupervised Domain Adaptation ICCV 2019 ClusterGAN: Latent Space Clustering in Generative Adversarial Networks AAAI 2019