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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)

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts CVPR 2018 Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling COLING 2018 Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018 A Helping Hand: Transfer Learning for Deep Sentiment Analysis ACL 2018 A Hybrid Approach to Grapheme to Phoneme Conversion in Assamese Interspeech 2018 A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora EMNLP 2018 A Knowledge-Grounded Multimodal Search-Based Conversational Agent EMNLP 2018 A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors ACL 2018 ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets SemEval 2018 A Laypeople Study on Terminology Identification across Domains and Task Definitions NAACL 2018 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NeurIPS 2018 Algorithms or Actions? A Study in Large-Scale Reinforcement Learning IJCAI 2018 Alibaba Submission for WMT18 Quality Estimation Task EMNLP 2018 A Lightly Supervised Approach to Detect Stuttering in Children's Speech Interspeech 2018 A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks NeurIPS 2018 All-Neural Multi-Channel Speech Enhancement Interspeech 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 Alternating optimization of decision trees, with application to learning sparse oblique trees NeurIPS 2018 A Lyapunov-based Approach to Safe Reinforcement Learning NeurIPS 2018 A Methodology for Evaluating Interaction Strategies of Task-Oriented Conversational Agents EMNLP 2018 Amobee at IEST 2018: Transfer Learning from Language Models EMNLP 2018 A mostly unlexicalized model for recognizing textual entailment EMNLP 2018 Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets SemEval 2018 A Multi-Axis Annotation Scheme for Event Temporal Relations ACL 2018 A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling ACL 2018