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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)

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors ACL 2022 Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation AAAI 2022 Separating Hate Speech and Offensive Language Classes via Adversarial Debiasing NAACL 2022 SepLL: Separating Latent Class Labels from Weak Supervision Noise EMNLP 2022 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining AAAI 2022 Sequence Level Contrastive Learning for Text Summarization AAAI 2022 Sequence Model Imitation Learning with Unobserved Contexts NeurIPS 2022 Sequence Models for Document Structure Identification in an Undeciphered Script EMNLP 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022 Sequential Information Design: Learning to Persuade in the Dark NeurIPS 2022 Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction IJCAI 2022 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets ICML 2022 Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency CVPR 2022 SF-DST: Few-Shot Self-Feeding Reading Comprehension Dialogue State Tracking with Auxiliary Task Interspeech 2022 SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems AAAI 2022 SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning AAAI 2022 Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022 Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries WACV 2022 Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization Interspeech 2022 SHAP-Based Explanation Methods: A Review for NLP Interpretability COLING 2022 SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities IJCAI 2022 Shape-Invariant 3D Adversarial Point Clouds CVPR 2022 Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022 SHARP: Search-Based Adversarial Attack for Structured Prediction NAACL 2022