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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
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2000
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Papers (including subtopics)

Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks ICCV 2019 Evaluating Text GANs as Language Models NAACL 2019 Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models ACL 2019 Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations EMNLP 2019 Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge EMNLP 2019 Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019 Exact sampling of determinantal point processes with sublinear time preprocessing NeurIPS 2019 Excessive Invariance Causes Adversarial Vulnerability ICLR 2019 Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency ICLR 2019 Experience Replay for Continual Learning NeurIPS 2019 Explainable Deep Neural Networks for Multivariate Time Series Predictions IJCAI 2019 Explainable Recommendation through Attentive Multi-View Learning AAAI 2019 Explaining Simple Natural Language Inference ACL 2019 Explain Yourself! Leveraging Language Models for Commonsense Reasoning ACL 2019 Explicit Cross-lingual Pre-training for Unsupervised Machine Translation EMNLP 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Exploiting Class Learnability in Noisy Data AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019 Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019 Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators ALT 2019 Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning ACL 2019 Exploiting Local Feature Patterns for Unsupervised Domain Adaptation AAAI 2019