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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)

A Robust Adversarial Training Approach to Machine Reading Comprehension AAAI 2020 A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction EMNLP 2020 A Self-supervised Approach for Adversarial Robustness CVPR 2020 A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction ACL 2020 A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP 2020 A Semi-Supervised Assessor of Neural Architectures CVPR 2020 A Semi-Supervised BERT Approach for Arabic Named Entity Recognition COLING 2020 A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition ICML 2020 A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning CVPR 2020 A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction COLING 2020 A Simple and Effective Unified Encoder for Document-Level Machine Translation ACL 2020 A Simple and Effective Usage of Word Clusters for CBOW Model AACL 2020 A Simple Approach to Learning Unsupervised Multilingual Embeddings EMNLP 2020 A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract) AAAI 2020 A Simple, Fast, and Safe Mediator for Congestion Management AAAI 2020 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 A simple normative network approximates local non-Hebbian learning in the cortex NeurIPS 2020 A Simple Online Algorithm for Competing with Dynamic Comparators UAI 2020 A Simple Yet Strong Pipeline for HotpotQA EMNLP 2020 A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020 A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints NeurIPS 2020 Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options AACL 2020 Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles AAAI 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020 Ask to Learn: A Study on Curiosity-driven Question Generation COLING 2020