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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Learning Deep Sketch Abstraction CVPR 2018 Learning Deep Unsupervised Binary Codes for Image Retrieval IJCAI 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Discriminative Features for Speaker Identification and Verification Interspeech 2018 Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018 Learning Domain Representation for Multi-Domain Sentiment Classification NAACL 2018 Learning Dynamics of Linear Denoising Autoencoders ICML 2018 Learning End-to-End Goal-Oriented Dialog with Multiple Answers EMNLP 2018 Learning Explanatory Rules from Noisy Data (Extended Abstract) IJCAI 2018 Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering CVPR 2018 Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018 Learning from discriminative feature feedback NeurIPS 2018 Learning From Noisy Singly-labeled Data ICLR 2018 Learning From Noisy Web Data With Category-Level Supervision CVPR 2018 Learning from the experts: From expert systems to machine-learned diagnosis models MLHC 2018 Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning ICLR 2018 Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018 Learning Hidden Quantum Markov Models AISTATS 2018 Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models NAACL 2018 Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018 Learning Independent Causal Mechanisms ICML 2018 Learning in Games with Lossy Feedback NeurIPS 2018 Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data Interspeech 2018 Learning Intrinsic Image Decomposition From Watching the World CVPR 2018 Learning Joint Semantic Parsers from Disjoint Data NAACL 2018