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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs CVPR 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018 Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018 Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018 Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation IJCAI 2018 Deep Reinforcement Learning of Marked Temporal Point Processes NeurIPS 2018 Deep Reinforcement Learning of Region Proposal Networks for Object Detection CVPR 2018 Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time NAACL 2018 Deep Text Classification Can be Fooled IJCAI 2018 Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective CVPR 2018 Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser CVPR 2018 Defense Against Universal Adversarial Perturbations CVPR 2018 Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models ICLR 2018 Deflecting Adversarial Attacks With Pixel Deflection CVPR 2018 DehazeGAN: When Image Dehazing Meets Differential Programming IJCAI 2018 Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom COLING 2018 Delta-encoder: an effective sample synthesis method for few-shot object recognition NeurIPS 2018 Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing EMNLP 2018 Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech Interspeech 2018 Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection EMNLP 2018 Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation CoRL 2018 Depth and Transient Imaging With Compressive SPAD Array Cameras CVPR 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Derivative Free Optimization Via Repeated Classification AISTATS 2018