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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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2000
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Papers (including subtopics)

Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction NAACL 2018 Singing Voice Phoneme Segmentation by Hierarchically Inferring Syllable and Phoneme Onset Positions Interspeech 2018 Single-Agent Policy Tree Search With Guarantees NeurIPS 2018 Single-channel Late Reverberation Power Spectral Density Estimation Using Denoising Autoencoders Interspeech 2018 Single-channel Speech Dereverberation via Generative Adversarial Training Interspeech 2018 SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation CVPR 2018 Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018 Sketch-a-Classifier: Sketch-Based Photo Classifier Generation CVPR 2018 SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval CVPR 2018 Sluice Resolution without Hand-Crafted Features over Brittle Syntax Trees NAACL 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018 SNAG: Spoken Narratives and Gaze Dataset ACL 2018 SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension SemEval 2018 Socially Motivated Partial Cooperation in Multi-agent Local Search IJCAI 2018 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018 Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ACL 2018 Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality NAACL 2018 Somm: Into the Model EMNLP 2018 Sparse DNNs with Improved Adversarial Robustness NeurIPS 2018 Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018 Spatially Transformed Adversarial Examples ICLR 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems Interspeech 2018 Speaker-Follower Models for Vision-and-Language Navigation NeurIPS 2018