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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)

The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task EMNLP 2018 The Importance of Calibration for Estimating Proportions from Annotations NAACL 2018 The INaturalist Species Classification and Detection Dataset CVPR 2018 The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation COLING 2018 The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats Interspeech 2018 The LMU Munich Unsupervised Machine Translation Systems EMNLP 2018 The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems CoRL 2018 The Mechanics of n-Player Differentiable Games ICML 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 The MLLP-UPV German-English Machine Translation System for WMT18 EMNLP 2018 Theoretical Analysis of Image-to-Image Translation with Adversarial Learning ICML 2018 Theoretical Analysis of Sparse Subspace Clustering with Missing Entries ICML 2018 Theoretical guarantees for EM under misspecified Gaussian mixture models NeurIPS 2018 The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses COLING 2018 The Perception-Distortion Tradeoff CVPR 2018 The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning NeurIPS 2018 The Power of Ensembles for Active Learning in Image Classification CVPR 2018 The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018 The price of debiasing automatic metrics in natural language evalaution ACL 2018 Thermometer Encoding: One Hot Way To Resist Adversarial Examples ICLR 2018 The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings ICLR 2018 The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018 EMNLP 2018 The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models NeurIPS 2018 The Search Problem in Mixture Models JMLR 2018 The Sparse Manifold Transform NeurIPS 2018