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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)

GloVeInit at SemEval-2020 Task 1: Using GloVe Vector Initialization for Unsupervised Lexical Semantic Change Detection SemEval 2020 GLUECoS: An Evaluation Benchmark for Code-Switched NLP ACL 2020 GluonTS: Probabilistic and Neural Time Series Modeling in Python JMLR 2020 Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs ACL 2020 GMAN: A Graph Multi-Attention Network for Traffic Prediction AAAI 2020 GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering SemEval 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 Goal-Aware Prediction: Learning to Model What Matters ICML 2020 Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020 Goku’s Participation in WAT 2020 AACL 2020 Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020 Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval CVPR 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 GPS-Net: Graph Property Sensing Network for Scene Graph Generation CVPR 2020 GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis EMNLP 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 Gradient Boosted Normalizing Flows NeurIPS 2020 Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks AISTATS 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Gradient-free Online Learning in Continuous Games with Delayed Rewards ICML 2020 Gradients as Features for Deep Representation Learning ICLR 2020 GradMix: Multi-source Transfer across Domains and Tasks WACV 2020