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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)

Speech-XLNet: Unsupervised Acoustic Model Pretraining for Self-Attention Networks Interspeech 2020 Speeding up Very Fast Decision Tree with Low Computational Cost IJCAI 2020 SpeedNet: Learning the Speediness in Videos CVPR 2020 Spherical Space Domain Adaptation With Robust Pseudo-Label Loss CVPR 2020 Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation Interspeech 2020 Spoken Language ‘Grammatical Error Correction’ Interspeech 2020 Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems EMNLP 2020 SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds CVPR 2020 SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020 SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards ICLR 2020 SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020 SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning EMNLP 2020 SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020 SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces SemEval 2020 Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020 Stable Learning via Sample Reweighting AAAI 2020 Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020 Stable Regression: On the Power of Optimization over Randomization JMLR 2020 Stable Reinforcement Learning with Unbounded State Space L4DC 2020 Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval WACV 2020 Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription Interspeech 2020 Stage-wise Conservative Linear Bandits NeurIPS 2020 STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval EMNLP 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 State-Relabeling Adversarial Active Learning CVPR 2020