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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)

Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016 ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation CVPR 2016 Search Improves Label for Active Learning NeurIPS 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 Segmented Dynamic Time Warping for Spoken Query-by-Example Search Interspeech 2016 Selection of Multi-Genre Broadcast Data for the Training of Automatic Speech Recognition Systems Interspeech 2016 Selective Co-occurrences for Word-Emotion Association COLING 2016 Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer CVPR 2016 Semantic overfitting: what ‘world’ do we consider when evaluating disambiguation of text? COLING 2016 Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary COLING 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016 Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions Interspeech 2016 Semi-supervised Gender Classification with Joint Textual and Social Modeling COLING 2016 Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech Interspeech 2016 Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016 Semi Supervised Preposition-Sense Disambiguation using Multilingual Data COLING 2016 Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks Interspeech 2016 Semi-Supervised Training in Deep Learning Acoustic Model Interspeech 2016 Semi-Supervised Vocabulary-Informed Learning CVPR 2016 Semi-supervised Word Sense Disambiguation with Neural Models COLING 2016 SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives COLING 2016 Sequence Student-Teacher Training of Deep Neural Networks Interspeech 2016 Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding Interspeech 2016 Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective Interspeech 2016 SketchNet: Sketch Classification With Web Images CVPR 2016