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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)

Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019 Face Reconstruction from Voice using Generative Adversarial Networks NeurIPS 2019 Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NeurIPS 2019 Fair Algorithms for Clustering NeurIPS 2019 Fake It Till You Make It: Learning-Compatible Performance Support UAI 2019 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019 Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019 FANDA: A Novel Approach to Perform Follow-Up Query Analysis AAAI 2019 Far-Field End-to-End Text-Dependent Speaker Verification Based on Mixed Training Data with Transfer Learning and Enrollment Data Augmentation Interspeech 2019 Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes NeurIPS 2019 Fast and Robust Multi-View Multi-Task Learning via Group Sparsity IJCAI 2019 Fast AutoAugment NeurIPS 2019 Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech CVPR 2019 Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention EMNLP 2019 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 Faster Boosting with Smaller Memory NeurIPS 2019 Fast Object Class Labelling via Speech CVPR 2019 Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019 Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks CVPR 2019 FDA: Feature Disruptive Attack ICCV 2019 Feature Denoising for Improving Adversarial Robustness CVPR 2019 Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels EMNLP 2019 Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019 Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders Interspeech 2019 Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study AAAI 2019