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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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220
477
4,652
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2000
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Papers (including subtopics)

Group-wise Contrastive Learning for Neural Dialogue Generation EMNLP 2020 Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020 GruPaTo at SemEval-2020 Task 12: Retraining mBERT on Social Media and Fine-tuned Offensive Language Models SemEval 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 GTCOM Neural Machine Translation Systems for WMT20 EMNLP 2020 GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations RSS 2020 GTNet: Generative Transfer Network for Zero-Shot Object Detection AAAI 2020 Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020 Guessing the Age of Acquisition of Italian Lemmas through Linear Regression EMNLP 2020 Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NeurIPS 2020 Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020 Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism AAAI 2020 Guiding Attention for Self-Supervised Learning with Transformers EMNLP 2020 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 Guiding Program Synthesis by Learning to Generate Examples ICLR 2020 GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents EMNLP 2020 Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging CVPR 2020 HABERTOR: An Efficient and Effective Deep Hatespeech Detector EMNLP 2020 Hallucinative Topological Memory for Zero-Shot Visual Planning ICML 2020 Handling Anomalies of Synthetic Questions in Unsupervised Question Answering COLING 2020 Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020 HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map CVPR 2020 Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour AACL 2020 Hard Negative Mixing for Contrastive Learning NeurIPS 2020 Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition AAAI 2020