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

MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021 Multi-stage Pre-training over Simplified Multimodal Pre-training Models ACL 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus NAACL 2021 MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations AAAI 2021 Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation ICCV 2021 Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection IJCAI 2021 Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021 Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection ICCV 2021 Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance EMNLP 2021 Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering EMNLP 2021 Multi-Task Knowledge Distillation for Eye Disease Prediction WACV 2021 Multi-task Learning by Leveraging the Semantic Information AAAI 2021 Multitask Learning for Citation Purpose Classification NAACL 2021 Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures NAACL 2021 Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction Interspeech 2021 Multi-task Learning in Argument Mining for Persuasive Online Discussions EMNLP 2021 Multi-Task Learning of Generation and Classification for Emotion-Aware Dialogue Response Generation NAACL 2021 Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification NAACL 2021 Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event EMNLP 2021 Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis EACL 2021 Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation NAACL 2021 Multi-Task Neural Network for Robust Multiple Speaker Embedding Extraction Interspeech 2021 Multi-Task Recurrent Modular Networks AAAI 2021 Multi-Task Reinforcement Learning with Context-based Representations ICML 2021