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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Structured Output Learning with Abstention: Application to Accurate Opinion Prediction ICML 2018 StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ACL 2018 Student-Teacher Learning for BLSTM Mask-based Speech Enhancement Interspeech 2018 Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition Interspeech 2018 Style Obfuscation by Invariance COLING 2018 Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis ICML 2018 Style Transfer Through Back-Translation ACL 2018 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings IJCAI 2018 Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised EMNLP 2018 Supervised and Unsupervised Minimalist Quality Estimators: Vicomtech’s Participation in the WMT 2018 Quality Estimation Task EMNLP 2018 Supervised and Unsupervised Transfer Learning for Question Answering NAACL 2018 Supervised I-vector Modeling - Theory and Applications Interspeech 2018 Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data EMNLP 2018 Supervising Unsupervised Learning NeurIPS 2018 SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark CoRL 2018 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference EMNLP 2018 Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018 Syntactic Scaffolds for Semantic Structures EMNLP 2018 Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction EMNLP 2018 Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018 Synthesizing Robust Adversarial Examples ICML 2018 Synthetic Data Made to Order: The Case of Parsing EMNLP 2018 Tackling Adversarial Examples in QA via Answer Sentence Selection ACL 2018 Tackling the Story Ending Biases in The Story Cloze Test ACL 2018