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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)

Trust Region-Guided Proximal Policy Optimization NeurIPS 2019 TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer CoRL 2019 TUPA at MRP 2019: A Multi-Task Baseline System CoNLL 2019 TWEETQA: A Social Media Focused Question Answering Dataset ACL 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NeurIPS 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification AAAI 2019 Two-Stage Training for Chinese Dialect Recognition Interspeech 2019 Two Stream Networks for Self-Supervised Ego-Motion Estimation CoRL 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 U4D: Unsupervised 4D Dynamic Scene Understanding ICCV 2019 UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles ACL 2019 UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging ACL 2019 UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems ACL 2019 UDS–DFKI Submission to the WMT2019 Czech–Polish Similar Language Translation Shared Task ACL 2019 UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019 UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews AAAI 2019 UHH-LT at SemEval-2019 Task 6: Supervised vs. Unsupervised Transfer Learning for Offensive Language Detection SemEval 2019 Ultrametric Fitting by Gradient Descent NeurIPS 2019 UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV 2019 UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs SemEval 2019 Unbiased Semi-Supervised LF-MMI Training Using Dropout Interspeech 2019 Uncertainty-based Continual Learning with Adaptive Regularization NeurIPS 2019 Uncertainty on Asynchronous Time Event Prediction NeurIPS 2019 Uncoupled Regression from Pairwise Comparison Data NeurIPS 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer ICLR 2019