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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)

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG EMNLP 2019 How to Annotate 100 Hours in 45 Minutes Interspeech 2019 How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation NAACL 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing EMNLP 2019 Huawei’s NMT Systems for the WMT 2019 Biomedical Translation Task ACL 2019 hULMonA: The Universal Language Model in Arabic ACL 2019 Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019 Human-in-the-Loop Feature Selection AAAI 2019 Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019 Human Uncertainty Makes Classification More Robust ICCV 2019 Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark ACL 2019 Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval CVPR 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Hybrid Models for Aspects Extraction without Labelled Dataset EMNLP 2019 Hybrid Models with Deep and Invertible Features ICML 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Hybrid system identification using switching density networks CoRL 2019 HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models NeurIPS 2019 HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS 2019 Hyperparameter Learning via Distributional Transfer NeurIPS 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations AAAI 2019 Hyperspectral Image Reconstruction Using Deep External and Internal Learning ICCV 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Identification of Adjective-Noun Neologisms using Pretrained Language Models ACL 2019