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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
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477
4,652
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2000
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Papers (including subtopics)

“Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack EMNLP 2023 ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis ACL 2023 Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models SemEval 2023 Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning EMNLP 2023 Argument Detection in Student Essays under Resource Constraints EMNLP 2023 Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models ACL 2023 A Robust Information-Masking Approach for Domain Counterfactual Generation ACL 2023 A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images MIDL 2023 A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023 ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections NeurIPS 2023 Artificial Neuronal Ensembles with Learned Context Dependent Gating ICLR 2023 A Second-Order Method for Stochastic Bandit Convex Optimisation COLT 2023 A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection EMNLP 2023 A Self-Supervised Integration Method of Pretrained Language Models and Word Definitions ACL 2023 A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 ASIC: Aligning Sparse in-the-wild Image Collections ICCV 2023 ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training NeurIPS 2023 A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification ACL 2023 A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling EACL 2023 A Simple Framework for Text-Supervised Semantic Segmentation CVPR 2023 A Simple Recipe to Meta-Learn Forward and Backward Transfer ICCV 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023 A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection ICCV 2023