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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)

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks IJCAI 2019 Semi-Supervised Video Salient Object Detection Using Pseudo-Labels ICCV 2019 Semi-Supervised Voice Conversion with Amortized Variational Inference Interspeech 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks EMNLP 2019 Sentence Centrality Revisited for Unsupervised Summarization ACL 2019 Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019 Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model EMNLP 2019 Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL 2019 Sentiment Analysis on Naija-Tweets ACL 2019 Sentiment-Controllable Chinese Poetry Generation IJCAI 2019 Sentiment Tagging with Partial Labels using Modular Architectures ACL 2019 Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019 SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression NAACL 2019 Sequence Labeling Parsing by Learning across Representations ACL 2019 Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition CVPR 2019 Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry ICCV 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019 Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices NeurIPS 2019 Shape Constraints for Set Functions ICML 2019 ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors ICCV 2019 Sharing Experience in Multitask Reinforcement Learning IJCAI 2019 SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference ACL 2019