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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 Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease Interspeech 2018 An Adaptive Strategy for Active Learning with Smooth Decision Boundary ALT 2018 Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models NAACL 2018 Analysis of L2 Learners’ Progress of Distinguishing Mandarin Tone 2 and Tone 3 Interspeech 2018 Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018 Analyzing Correlated Evolution of Multiple Features Using Latent Representations EMNLP 2018 Analyzing the Robustness of Nearest Neighbors to Adversarial Examples ICML 2018 A Named Entity Recognition Shootout for German ACL 2018 An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018 An Analysis of the t-SNE Algorithm for Data Visualization COLT 2018 Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation CVPR 2018 An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018 An efficient framework for learning sentence representations ICLR 2018 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018 An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate IJCAI 2018 An Empirical Study of Building a Strong Baseline for Constituency Parsing ACL 2018 An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals Interspeech 2018 An End-to-End Multi-task Learning Model for Fact Checking EMNLP 2018 An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification Interspeech 2018 A Neural Architecture for Automated ICD Coding ACL 2018 A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval ACL 2018 An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification COLING 2018 An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018 Interspeech 2018 Angular Softmax for Short-Duration Text-independent Speaker Verification Interspeech 2018 An Inference-Based Policy Gradient Method for Learning Options ICML 2018