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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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Papers (including subtopics)

LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification SemEval 2017 LSTM Neural Network-Based Speaker Segmentation Using Acoustic and Language Modelling Interspeech 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017 MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction IJCNLP 2017 Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach CVPR 2017 Making Neural QA as Simple as Possible but not Simpler CoNLL 2017 Manipulating Opinion Diffusion in Social Networks IJCAI 2017 Masked Autoregressive Flow for Density Estimation NeurIPS 2017 MAT: A Multimodal Attentive Translator for Image Captioning IJCAI 2017 Matching neural paths: transfer from recognition to correspondence search NeurIPS 2017 Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NeurIPS 2017 Matrix Completion with Noisy Entries and Outliers JMLR 2017 Matrix of Polynomials Model Based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling Interspeech 2017 Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning CVPR 2017 Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NeurIPS 2017 Max-Margin Invariant Features from Transformed Unlabelled Data NeurIPS 2017 Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017 McGan: Mean and Covariance Feature Matching GAN ICML 2017 Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NeurIPS 2017 Measuring Synchrony in Task-Based Dialogues Interspeech 2017 Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search CVPR 2017 Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints EMNLP 2017 Meta Networks ICML 2017